CINXE.COM

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_16jmeqbl5 _16jmeqbli _16jmeqb1s _16jmeqb18 _16jmeqb0"><div class="_1lx5lep0" id="0-visionary-voices"><div class="_16jmeqbj4 _16jmeqbj9 _16jmeqbjm _16jmeqbl0 _16jmeqbl5 _16jmeqbli _16jmeqb1s _16jmeqb18 _16jmeqb0"><div class=""><div class="_1kbq9x82 _1kbq9x84 _1kbq9x85 _1kbq9x88" style="--_1kbq9x80:var(--_99wljge)"><div class=""><div class="_16jmeqbj8 _16jmeqbjn _16jmeqbl4 _16jmeqblj _16jmeqb1s _16jmeqb18 _16jmeqb0"><article class=""><div class="_1u13v720 _16jmeqbi5 _16jmeqbio _16jmeqbkc _16jmeqbkh _16jmeqbkm" style="grid-template-columns:repeat(12, 1fr)"><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbo1 _16jmeqbq0"><div class="_16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><h2 class="m0fuh0 _16jmeqba4 _16jmeqbc4 _16jmeqbe4 _16jmeqbg4 _16jmeqb15t _16jmeqb15u _16jmeqb167 _16jmeqb177 _16jmeqbsk _16jmeqbsu _16jmeqb16k _16jmeqb164" data-heading-level="4">Improving every patient outcome </h2><div class="gv4p8b0 _16jmeqb166 _16jmeqb167"><div data-testid="teaser-list-item"><div class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqbsi _16jmeqbsc _16jmeqb16m" data-text-size="md"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">In this video, Jan Herzhoff, President of Health Markets at Elsevier, and Mie-Yun Lee, Chief of Staff at Elsevier, share how AI can help solve for some of the challenges the healthcare industry faces and their hopes on how AI can help clinicians deliver high-quality care. </p><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">“AI actually has the ability to close the gap between the demands that society has and the realities that we face today.” - Mie-Yun Lee </p></div></div></div></div></div></div></div><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbq0 _16jmeqbpd _16jmeqbrh _16jmeqbrg _16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_13ht0690 _16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24 _16jmeqb158 _16jmeqb16g _16jmeqb8 _16jmeqb1s"><video src="//videos.ctfassets.net/o78em1y1w4i4/1KXD48FIgFOuE29K86udWT/daa81f01d88f42a682820b790ed5b3b9/8_Improving_every_patient_outcome.mp4" preload="metadata" style="display:none" aria-hidden="true"></video><div class="_16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24"><div class="_13ht0694" style="transform:none"><img class="_13ht0694 popcxs1 popcxs3 _16jmeqb174" src="//images.ctfassets.net/o78em1y1w4i4/68rgcA3TZw6dCHbTVgGv1y/ad19cfafbbe1c2be0c6d135f029c073b/20240712-161534_video_8_-_mie-yun_lee.jpg?fm=webp&w=1260&q=75" alt="Visionary Voices: Improving every patient outcome " width="1260" height="946" srcSet="//images.ctfassets.net/o78em1y1w4i4/68rgcA3TZw6dCHbTVgGv1y/ad19cfafbbe1c2be0c6d135f029c073b/20240712-161534_video_8_-_mie-yun_lee.jpg?fm=webp&w=1260&q=75 1x, //images.ctfassets.net/o78em1y1w4i4/68rgcA3TZw6dCHbTVgGv1y/ad19cfafbbe1c2be0c6d135f029c073b/20240712-161534_video_8_-_mie-yun_lee.jpg?fm=webp&w=2520&q=75 2x" decoding="async" 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data-heading-level="4">Advice to clinicians considering AI support in decision making </h2><div class="gv4p8b0 _16jmeqb166 _16jmeqb167"><div data-testid="teaser-list-item"><div class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqbsi _16jmeqbsc _16jmeqb16m" data-text-size="md"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">In this video, Jan Herzhoff, President of Health Markets at Elsevier, and Mie-Yun Lee, Chief of Staff at Elsevier, describe important considerations clinicians should make when implementing AI technology and how responsible AI principles play a vital role in the development of generative AI solutions for healthcare. </p><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">“For us it’s super critical that this content is delivered in a very responsible way to healthcare providers across the globe.” - Jan Herzhoff </p></div></div></div></div></div></div></div><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbnx _16jmeqbq0 _16jmeqbrl _16jmeqbrg _16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_13ht0690 _16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24 _16jmeqb158 _16jmeqb16g _16jmeqb8 _16jmeqb1s"><video src="//videos.ctfassets.net/o78em1y1w4i4/3iR8cBRpFNdS5bVp1Wg6Tv/2b6930c143b884a543ff31fc242fc2db/9__Advice_to_clinicians_considering_AI_support_in_decision_making.mp4" preload="metadata" style="display:none" aria-hidden="true"></video><div class="_16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24"><div class="_13ht0694" style="transform:none"><img class="_13ht0694 popcxs1 popcxs3 _16jmeqb174" src="//images.ctfassets.net/o78em1y1w4i4/1T7okUNHyoKfhhBp723HDn/a1f02236d9ab89b791940f17a30b5f4c/20240712-161535_video_9_-_jan_herzhoff.jpg?fm=webp&w=1260&q=75" alt="Visionary Voices: Advice to clinicians considering AI support in decision making " width="1260" height="946" srcSet="//images.ctfassets.net/o78em1y1w4i4/1T7okUNHyoKfhhBp723HDn/a1f02236d9ab89b791940f17a30b5f4c/20240712-161535_video_9_-_jan_herzhoff.jpg?fm=webp&w=1260&q=75 1x, //images.ctfassets.net/o78em1y1w4i4/1T7okUNHyoKfhhBp723HDn/a1f02236d9ab89b791940f17a30b5f4c/20240712-161535_video_9_-_jan_herzhoff.jpg?fm=webp&w=2520&q=75 2x" decoding="async" loading="lazy"/></div><div class="_13ht0692 _16jmeqb30 _16jmeqb3l _16jmeqb4w _16jmeqb5h _16jmeqb6s _16jmeqb7d _16jmeqb8o _16jmeqb99 _16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb1c _16jmeqb11 _16jmeqb4 _16jmeqb9 _16jmeqbs _16jmeqb11g _16jmeqbxc _16jmeqb24"><button class="w17eg90 _16jmeqbu8 _16jmeqbv0 _16jmeqbvs _16jmeqbwk _16jmeqb1w _16jmeqbo _16jmeqb8 w17eg92 w17eg99 _13ht0691 "><svg fill="currentColor" viewBox="0 0 24 24" class="_13ht0698" width="24" height="24"><path fill="currentColor" d="M5.375 20.546v-17l17 8.5-17 8.5Z"></path></svg><span class="_13sjisp0">Play</span></button></div></div><script data-testid="json-ld" type="application/ld+json">{"@context":"https://schema.org/","@type":"VideoObject","name":"Visionary Voices: Advice to clinicians considering AI support in decision making ","description":"Visionary Voices: Advice to clinicians considering AI support in decision making ","thumbnailURL":"//images.ctfassets.net/o78em1y1w4i4/1T7okUNHyoKfhhBp723HDn/a1f02236d9ab89b791940f17a30b5f4c/20240712-161535_video_9_-_jan_herzhoff.jpg","embedURL":"//videos.ctfassets.net/o78em1y1w4i4/3iR8cBRpFNdS5bVp1Wg6Tv/2b6930c143b884a543ff31fc242fc2db/9__Advice_to_clinicians_considering_AI_support_in_decision_making.mp4","uploaddate":"2024-07-11T03:48:39.303Z","inlanguage":"en-US","publisher":{"@type":"Organization","name":"Elsevier","logo":{"@type":"ImageObject","url":"/images/elsevier-logo.svg"}}}</script></div></div></div></article><article class=""><div class="_1u13v720 _16jmeqbi5 _16jmeqbio _16jmeqbkc _16jmeqbkh _16jmeqbkm" style="grid-template-columns:repeat(12, 1fr)"><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbo1 _16jmeqbq0"><div class="_16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><h2 class="m0fuh0 _16jmeqba4 _16jmeqbc4 _16jmeqbe4 _16jmeqbg4 _16jmeqb15t _16jmeqb15u _16jmeqb167 _16jmeqb177 _16jmeqbsk _16jmeqbsu _16jmeqb16k _16jmeqb164" data-heading-level="4">The combination of world-class information and generative AI </h2><div class="gv4p8b0 _16jmeqb166 _16jmeqb167"><div data-testid="teaser-list-item"><div class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqbsi _16jmeqbsc _16jmeqb16m" data-text-size="md"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">In this video, Elsevier’s content experts Dr. Louise Chang and Mie-Yun Lee describe the benefit of Elsevier’s deep history of trusted content and the impact it has on the quality of our AI tools. </p><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">“Elsevier is uniquely positioned to deliver clinical AI initiatives because of our strength in our content and our history in delivering evidence-based, peer-reviewed information to clinicians around the world.” - Louise Chang </p></div></div></div></div></div></div></div><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbq0 _16jmeqbpd _16jmeqbrh _16jmeqbrg _16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_13ht0690 _16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24 _16jmeqb158 _16jmeqb16g _16jmeqb8 _16jmeqb1s"><video src="//videos.ctfassets.net/o78em1y1w4i4/4Vuqj60jKzaUDOco0NE7AW/da31fbc3c761b5478313e1c51c94a13c/7_The_combination_of_world-class_information_and_generative_AI.mp4" preload="metadata" style="display:none" aria-hidden="true"></video><div class="_16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24"><div class="_13ht0694" style="transform:none"><img class="_13ht0694 popcxs1 popcxs3 _16jmeqb174" src="//images.ctfassets.net/o78em1y1w4i4/4J0L4DcAHhY8GR8Uucs9es/6a99bbd4d5252773da1881cfbc14fadc/20240712-161534_video_7_-_louise_chang.jpg?fm=webp&w=1260&q=75" alt="Visionary Voices: The combination of world-class information and generative AI " width="1260" height="946" srcSet="//images.ctfassets.net/o78em1y1w4i4/4J0L4DcAHhY8GR8Uucs9es/6a99bbd4d5252773da1881cfbc14fadc/20240712-161534_video_7_-_louise_chang.jpg?fm=webp&w=1260&q=75 1x, //images.ctfassets.net/o78em1y1w4i4/4J0L4DcAHhY8GR8Uucs9es/6a99bbd4d5252773da1881cfbc14fadc/20240712-161534_video_7_-_louise_chang.jpg?fm=webp&w=2520&q=75 2x" decoding="async" loading="lazy"/></div><div class="_13ht0692 _16jmeqb30 _16jmeqb3l _16jmeqb4w _16jmeqb5h _16jmeqb6s _16jmeqb7d _16jmeqb8o _16jmeqb99 _16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb1c _16jmeqb11 _16jmeqb4 _16jmeqb9 _16jmeqbs _16jmeqb11g _16jmeqbxc _16jmeqb24"><button class="w17eg90 _16jmeqbu8 _16jmeqbv0 _16jmeqbvs _16jmeqbwk _16jmeqb1w _16jmeqbo _16jmeqb8 w17eg92 w17eg99 _13ht0691 "><svg fill="currentColor" viewBox="0 0 24 24" class="_13ht0698" width="24" height="24"><path fill="currentColor" d="M5.375 20.546v-17l17 8.5-17 8.5Z"></path></svg><span class="_13sjisp0">Play</span></button></div></div><script data-testid="json-ld" type="application/ld+json">{"@context":"https://schema.org/","@type":"VideoObject","name":"Visionary Voices: The combination of world-class information and generative AI ","description":"Visionary Voices: The combination of world-class information and generative AI ","thumbnailURL":"//images.ctfassets.net/o78em1y1w4i4/4J0L4DcAHhY8GR8Uucs9es/6a99bbd4d5252773da1881cfbc14fadc/20240712-161534_video_7_-_louise_chang.jpg","embedURL":"//videos.ctfassets.net/o78em1y1w4i4/4Vuqj60jKzaUDOco0NE7AW/da31fbc3c761b5478313e1c51c94a13c/7_The_combination_of_world-class_information_and_generative_AI.mp4","uploaddate":"2024-07-11T03:41:59.352Z","inlanguage":"en-US","publisher":{"@type":"Organization","name":"Elsevier","logo":{"@type":"ImageObject","url":"/images/elsevier-logo.svg"}}}</script></div></div></div></article><article class=""><div class="_1u13v720 _16jmeqbi5 _16jmeqbio _16jmeqbkc _16jmeqbkh _16jmeqbkm" style="grid-template-columns:repeat(12, 1fr)"><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbq0 _16jmeqbp9"><div class="_16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><h2 class="m0fuh0 _16jmeqba4 _16jmeqbc4 _16jmeqbe4 _16jmeqbg4 _16jmeqb15t _16jmeqb15u _16jmeqb167 _16jmeqb177 _16jmeqbsk _16jmeqbsu _16jmeqb16k _16jmeqb164" data-heading-level="4">How AI can enhance clinical decision-making </h2><div class="gv4p8b0 _16jmeqb166 _16jmeqb167"><div data-testid="teaser-list-item"><div class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqbsi _16jmeqbsc _16jmeqb16m" data-text-size="md"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">In this video, Elsevier Health’s clinical experts Dr. Paul Helmuth, Dr. Claudine Lott, and Dr. Louise Chang describe some of the challenges clinicians face in today’s healthcare environment and how AI can support clinicians in addressing these challenges. </p><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">“Using an AI tool can help to really speed that process up and to help increase the confidence that clinicians have that they’re getting to the right answer for their particular patient.” - Dr. Paul Helmuth </p></div></div></div></div></div></div></div><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbnx _16jmeqbq0 _16jmeqbrl _16jmeqbrg _16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_13ht0690 _16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24 _16jmeqb158 _16jmeqb16g _16jmeqb8 _16jmeqb1s"><video src="//videos.ctfassets.net/o78em1y1w4i4/4d7TPiWc8dxzw6XyhZrrqU/3f95f4c3efbfaa228eceb2bf1315bab5/1_How_AI_can_enhance_clinical_decision-making.mp4" preload="metadata" style="display:none" aria-hidden="true"></video><div class="_16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24"><div class="_13ht0694" style="transform:none"><img class="_13ht0694 popcxs1 popcxs3 _16jmeqb174" src="//images.ctfassets.net/o78em1y1w4i4/1069ZuO1aSMg06EbyvtHa9/608b07cf4f743bb6a3ac7fd92d01072f/20240712-161533_video_1_-_dr._helmuth.jpg?fm=webp&w=1260&q=75" alt="Visionary Voices: How AI can enhance clinical decision-making " width="1260" height="946" srcSet="//images.ctfassets.net/o78em1y1w4i4/1069ZuO1aSMg06EbyvtHa9/608b07cf4f743bb6a3ac7fd92d01072f/20240712-161533_video_1_-_dr._helmuth.jpg?fm=webp&w=1260&q=75 1x, //images.ctfassets.net/o78em1y1w4i4/1069ZuO1aSMg06EbyvtHa9/608b07cf4f743bb6a3ac7fd92d01072f/20240712-161533_video_1_-_dr._helmuth.jpg?fm=webp&w=2520&q=75 2x" decoding="async" loading="lazy"/></div><div class="_13ht0692 _16jmeqb30 _16jmeqb3l _16jmeqb4w _16jmeqb5h _16jmeqb6s _16jmeqb7d _16jmeqb8o _16jmeqb99 _16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb1c _16jmeqb11 _16jmeqb4 _16jmeqb9 _16jmeqbs _16jmeqb11g _16jmeqbxc _16jmeqb24"><button class="w17eg90 _16jmeqbu8 _16jmeqbv0 _16jmeqbvs _16jmeqbwk _16jmeqb1w _16jmeqbo _16jmeqb8 w17eg92 w17eg99 _13ht0691 "><svg fill="currentColor" viewBox="0 0 24 24" class="_13ht0698" width="24" height="24"><path fill="currentColor" d="M5.375 20.546v-17l17 8.5-17 8.5Z"></path></svg><span class="_13sjisp0">Play</span></button></div></div><script data-testid="json-ld" type="application/ld+json">{"@context":"https://schema.org/","@type":"VideoObject","name":"Visionary Voices: How AI can enhance clinical decision-making ","description":"Visionary Voices: How AI can enhance clinical decision-making ","thumbnailURL":"//images.ctfassets.net/o78em1y1w4i4/1069ZuO1aSMg06EbyvtHa9/608b07cf4f743bb6a3ac7fd92d01072f/20240712-161533_video_1_-_dr._helmuth.jpg","embedURL":"//videos.ctfassets.net/o78em1y1w4i4/4d7TPiWc8dxzw6XyhZrrqU/3f95f4c3efbfaa228eceb2bf1315bab5/1_How_AI_can_enhance_clinical_decision-making.mp4","uploaddate":"2024-07-05T16:28:19.794Z","inlanguage":"en-US","publisher":{"@type":"Organization","name":"Elsevier","logo":{"@type":"ImageObject","url":"/images/elsevier-logo.svg"}}}</script></div></div></div></article><article class=""><div class="_1u13v720 _16jmeqbi5 _16jmeqbio _16jmeqbkc _16jmeqbkh _16jmeqbkm" style="grid-template-columns:repeat(12, 1fr)"><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbo1 _16jmeqbq0"><div class="_16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><h2 class="m0fuh0 _16jmeqba4 _16jmeqbc4 _16jmeqbe4 _16jmeqbg4 _16jmeqb15t _16jmeqb15u _16jmeqb167 _16jmeqb177 _16jmeqbsk _16jmeqbsu _16jmeqb16k _16jmeqb164" data-heading-level="4">Potential challenges for implementing AI for physicians </h2><div class="gv4p8b0 _16jmeqb166 _16jmeqb167"><div data-testid="teaser-list-item"><div class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqbsi _16jmeqbsc _16jmeqb16m" data-text-size="md"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">In this video, Elsevier Health’s clinical experts Dr. Paul Helmuth and Dr. Claudine Lott share challenges that could come from using AI for clinical scenarios and how to address those challenges with technology. </p><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">“One of the biggest considerations when implementing AI for clinical decision support for physicians is accuracy and trust in the answers. So we can address this by using a corpus of trusted, evidence-based information that the AI can draw from so that clinicians can have faith in the information they’re receiving.” - Dr. Claudine Lott </p></div></div></div></div></div></div></div><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbq0 _16jmeqbpd _16jmeqbrh _16jmeqbrg _16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_13ht0690 _16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24 _16jmeqb158 _16jmeqb16g _16jmeqb8 _16jmeqb1s"><video src="//videos.ctfassets.net/o78em1y1w4i4/137rPKf6ObjlZtkOpb7LaQ/1d5faefe1766cec41b28e4ec05a1fa9c/2_Potential_challenges_for_implementing_AI_for_physicians.mp4" preload="metadata" style="display:none" aria-hidden="true"></video><div class="_16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24"><div class="_13ht0694" style="transform:none"><img class="_13ht0694 popcxs1 popcxs3 _16jmeqb174" src="//images.ctfassets.net/o78em1y1w4i4/3ecapRSS6tJjfDW4V2k6jY/902d80490b61b8b260362395ea8d09a6/20240712-161534_video_2_-_dr.lott.jpg?fm=webp&w=1260&q=75" alt="Visionary Voices: Potential challenges for implementing AI for physicians " width="1260" height="946" srcSet="//images.ctfassets.net/o78em1y1w4i4/3ecapRSS6tJjfDW4V2k6jY/902d80490b61b8b260362395ea8d09a6/20240712-161534_video_2_-_dr.lott.jpg?fm=webp&w=1260&q=75 1x, //images.ctfassets.net/o78em1y1w4i4/3ecapRSS6tJjfDW4V2k6jY/902d80490b61b8b260362395ea8d09a6/20240712-161534_video_2_-_dr.lott.jpg?fm=webp&w=2520&q=75 2x" decoding="async" loading="lazy"/></div><div class="_13ht0692 _16jmeqb30 _16jmeqb3l _16jmeqb4w _16jmeqb5h _16jmeqb6s _16jmeqb7d _16jmeqb8o _16jmeqb99 _16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb1c _16jmeqb11 _16jmeqb4 _16jmeqb9 _16jmeqbs _16jmeqb11g _16jmeqbxc _16jmeqb24"><button class="w17eg90 _16jmeqbu8 _16jmeqbv0 _16jmeqbvs _16jmeqbwk _16jmeqb1w _16jmeqbo _16jmeqb8 w17eg92 w17eg99 _13ht0691 "><svg fill="currentColor" viewBox="0 0 24 24" class="_13ht0698" width="24" height="24"><path fill="currentColor" d="M5.375 20.546v-17l17 8.5-17 8.5Z"></path></svg><span class="_13sjisp0">Play</span></button></div></div><script data-testid="json-ld" type="application/ld+json">{"@context":"https://schema.org/","@type":"VideoObject","name":"Visionary Voices: Potential challenges for implementing AI for physicians ","description":"Visionary Voices: Potential challenges for implementing AI for physicians ","thumbnailURL":"//images.ctfassets.net/o78em1y1w4i4/3ecapRSS6tJjfDW4V2k6jY/902d80490b61b8b260362395ea8d09a6/20240712-161534_video_2_-_dr.lott.jpg","embedURL":"//videos.ctfassets.net/o78em1y1w4i4/137rPKf6ObjlZtkOpb7LaQ/1d5faefe1766cec41b28e4ec05a1fa9c/2_Potential_challenges_for_implementing_AI_for_physicians.mp4","uploaddate":"2024-07-11T03:15:16.245Z","inlanguage":"en-US","publisher":{"@type":"Organization","name":"Elsevier","logo":{"@type":"ImageObject","url":"/images/elsevier-logo.svg"}}}</script></div></div></div></article><article class=""><div class="_1u13v720 _16jmeqbi5 _16jmeqbio _16jmeqbkc _16jmeqbkh _16jmeqbkm" style="grid-template-columns:repeat(12, 1fr)"><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbq0 _16jmeqbp9"><div class="_16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><h2 class="m0fuh0 _16jmeqba4 _16jmeqbc4 _16jmeqbe4 _16jmeqbg4 _16jmeqb15t _16jmeqb15u _16jmeqb167 _16jmeqb177 _16jmeqbsk _16jmeqbsu _16jmeqb16k _16jmeqb164" data-heading-level="4">How to balance clinical expertise with trustworthy AI capabilities</h2><div class="gv4p8b0 _16jmeqb166 _16jmeqb167"><div data-testid="teaser-list-item"><div class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqbsi _16jmeqbsc _16jmeqb16m" data-text-size="md"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">In this video, Elsevier Health’s clinical experts Dr. Paul Helmuth and Dr. Claudine Lott describe the importance of personal clinician interactions with patients and the role of AI in supporting clinicians. </p><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">“We all feel some sense of responsibility to be giving great care that we can stand behind. So we need transparent processes so that everybody can see how we're generating the responses that we are that are leading to the care of patients.” - Dr. Paul Helmuth </p></div></div></div></div></div></div></div><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbnx _16jmeqbq0 _16jmeqbrl _16jmeqbrg _16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_13ht0690 _16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24 _16jmeqb158 _16jmeqb16g _16jmeqb8 _16jmeqb1s"><video src="//videos.ctfassets.net/o78em1y1w4i4/5AFxCPtQM6FN6CcaUao6b9/ee79a77a9fcba55b6eb89b7666b61331/3_How_to_balance_clinical_expertise_with_trustworthy_AI_capabilities.mp4" preload="metadata" style="display:none" aria-hidden="true"></video><div class="_16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24"><div class="_13ht0694" style="transform:none"><img class="_13ht0694 popcxs1 popcxs3 _16jmeqb174" src="//images.ctfassets.net/o78em1y1w4i4/7q8nK4uQ8nd0fzgpx8lYPN/7133cb593863bcfac04b14fb46800096/20240712-161533_video_1_-_dr._helmuth.jpg?fm=webp&w=1260&q=75" alt="Visionary Voices: How to balance clinical expertise with trustworthy AI capabilities" width="1260" height="946" srcSet="//images.ctfassets.net/o78em1y1w4i4/7q8nK4uQ8nd0fzgpx8lYPN/7133cb593863bcfac04b14fb46800096/20240712-161533_video_1_-_dr._helmuth.jpg?fm=webp&w=1260&q=75 1x, //images.ctfassets.net/o78em1y1w4i4/7q8nK4uQ8nd0fzgpx8lYPN/7133cb593863bcfac04b14fb46800096/20240712-161533_video_1_-_dr._helmuth.jpg?fm=webp&w=2520&q=75 2x" decoding="async" loading="lazy"/></div><div class="_13ht0692 _16jmeqb30 _16jmeqb3l _16jmeqb4w _16jmeqb5h _16jmeqb6s _16jmeqb7d _16jmeqb8o _16jmeqb99 _16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb1c _16jmeqb11 _16jmeqb4 _16jmeqb9 _16jmeqbs _16jmeqb11g _16jmeqbxc _16jmeqb24"><button class="w17eg90 _16jmeqbu8 _16jmeqbv0 _16jmeqbvs _16jmeqbwk _16jmeqb1w _16jmeqbo _16jmeqb8 w17eg92 w17eg99 _13ht0691 "><svg fill="currentColor" viewBox="0 0 24 24" class="_13ht0698" width="24" height="24"><path fill="currentColor" d="M5.375 20.546v-17l17 8.5-17 8.5Z"></path></svg><span class="_13sjisp0">Play</span></button></div></div><script data-testid="json-ld" type="application/ld+json">{"@context":"https://schema.org/","@type":"VideoObject","name":"Visionary Voices: How to balance clinical expertise with trustworthy AI capabilities","description":"Visionary Voices: How to balance clinical expertise with trustworthy AI capabilities","thumbnailURL":"//images.ctfassets.net/o78em1y1w4i4/7q8nK4uQ8nd0fzgpx8lYPN/7133cb593863bcfac04b14fb46800096/20240712-161533_video_1_-_dr._helmuth.jpg","embedURL":"//videos.ctfassets.net/o78em1y1w4i4/5AFxCPtQM6FN6CcaUao6b9/ee79a77a9fcba55b6eb89b7666b61331/3_How_to_balance_clinical_expertise_with_trustworthy_AI_capabilities.mp4","uploaddate":"2024-07-11T03:18:51.044Z","inlanguage":"en-US","publisher":{"@type":"Organization","name":"Elsevier","logo":{"@type":"ImageObject","url":"/images/elsevier-logo.svg"}}}</script></div></div></div></article><article class=""><div class="_1u13v720 _16jmeqbi5 _16jmeqbio _16jmeqbkc _16jmeqbkh _16jmeqbkm" style="grid-template-columns:repeat(12, 1fr)"><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbo1 _16jmeqbq0"><div class="_16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><h2 class="m0fuh0 _16jmeqba4 _16jmeqbc4 _16jmeqbe4 _16jmeqbg4 _16jmeqb15t _16jmeqb15u _16jmeqb167 _16jmeqb177 _16jmeqbsk _16jmeqbsu _16jmeqb16k _16jmeqb164" data-heading-level="4">The future impact of AI in healthcare </h2><div class="gv4p8b0 _16jmeqb166 _16jmeqb167"><div data-testid="teaser-list-item"><div class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqbsi _16jmeqbsc _16jmeqb16m" data-text-size="md"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">In this video, Elsevier Health’s technology experts Katie Scranton and Rhett Alden outline how a responsible AI framework can help mitigate potential ethical challenges with AI in healthcare and share their predictions on what the future holds for AI in the industry. </p><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">“In the future of AI in healthcare I really see a move toward a careful and responsible application of these models in a way that will help clinicians solve their problems more efficiently, not in a way that would solve problems for clinicians.” - Katie Scranton </p></div></div></div></div></div></div></div><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbq0 _16jmeqbpd _16jmeqbrh _16jmeqbrg _16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_13ht0690 _16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24 _16jmeqb158 _16jmeqb16g _16jmeqb8 _16jmeqb1s"><video src="//videos.ctfassets.net/o78em1y1w4i4/1xHcRBMKSEx7dB5JOm1L0b/bf30e1ca4e10159d3b24f0736760c416/4_The_future_impact_of_AI_in_healthcare.mp4" preload="metadata" style="display:none" aria-hidden="true"></video><div class="_16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24"><div class="_13ht0694" style="transform:none"><img class="_13ht0694 popcxs1 popcxs3 _16jmeqb174" src="//images.ctfassets.net/o78em1y1w4i4/706gzhIKl3C7NMJufPdLUS/b43efea86a9be97f54d841af5bbaa43e/20240712-161534_video_4-_katie_scranton.jpg?fm=webp&w=1260&q=75" alt="" width="1260" height="946" srcSet="//images.ctfassets.net/o78em1y1w4i4/706gzhIKl3C7NMJufPdLUS/b43efea86a9be97f54d841af5bbaa43e/20240712-161534_video_4-_katie_scranton.jpg?fm=webp&w=1260&q=75 1x, //images.ctfassets.net/o78em1y1w4i4/706gzhIKl3C7NMJufPdLUS/b43efea86a9be97f54d841af5bbaa43e/20240712-161534_video_4-_katie_scranton.jpg?fm=webp&w=2520&q=75 2x" decoding="async" loading="lazy"/></div><div class="_13ht0692 _16jmeqb30 _16jmeqb3l _16jmeqb4w _16jmeqb5h _16jmeqb6s _16jmeqb7d _16jmeqb8o _16jmeqb99 _16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb1c _16jmeqb11 _16jmeqb4 _16jmeqb9 _16jmeqbs _16jmeqb11g _16jmeqbxc _16jmeqb24"><button class="w17eg90 _16jmeqbu8 _16jmeqbv0 _16jmeqbvs _16jmeqbwk _16jmeqb1w _16jmeqbo _16jmeqb8 w17eg92 w17eg99 _13ht0691 "><svg fill="currentColor" viewBox="0 0 24 24" class="_13ht0698" width="24" height="24"><path fill="currentColor" d="M5.375 20.546v-17l17 8.5-17 8.5Z"></path></svg><span class="_13sjisp0">Play</span></button></div></div><script data-testid="json-ld" type="application/ld+json">{"@context":"https://schema.org/","@type":"VideoObject","name":"Visionary Voices: The future impact of AI in healthcare ","description":"Visionary Voices: The future impact of AI in healthcare ","thumbnailURL":"//images.ctfassets.net/o78em1y1w4i4/706gzhIKl3C7NMJufPdLUS/b43efea86a9be97f54d841af5bbaa43e/20240712-161534_video_4-_katie_scranton.jpg","embedURL":"//videos.ctfassets.net/o78em1y1w4i4/1xHcRBMKSEx7dB5JOm1L0b/bf30e1ca4e10159d3b24f0736760c416/4_The_future_impact_of_AI_in_healthcare.mp4","uploaddate":"2024-07-11T03:26:25.642Z","inlanguage":"en-US","publisher":{"@type":"Organization","name":"Elsevier","logo":{"@type":"ImageObject","url":"/images/elsevier-logo.svg"}}}</script></div></div></div></article><article class=""><div class="_1u13v720 _16jmeqbi5 _16jmeqbio _16jmeqbkc _16jmeqbkh _16jmeqbkm" style="grid-template-columns:repeat(12, 1fr)"><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbq0 _16jmeqbp9"><div class="_16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><h2 class="m0fuh0 _16jmeqba4 _16jmeqbc4 _16jmeqbe4 _16jmeqbg4 _16jmeqb15t _16jmeqb15u _16jmeqb167 _16jmeqb177 _16jmeqbsk _16jmeqbsu _16jmeqb16k _16jmeqb164" data-heading-level="4">AI security and functionality with healthcare considerations </h2><div class="gv4p8b0 _16jmeqb166 _16jmeqb167"><div data-testid="teaser-list-item"><div class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqbsi _16jmeqbsc _16jmeqb16m" data-text-size="md"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">In this video, Elsevier Health’s technology experts Katie Scranton and Rhett Alden describe what content storage and search functionality looks like presently in ClinicalKey AI and why it’s important for healthcare systems. </p><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">“ClinicalKey AI is based on a vector search model, but most importantly, it uses proprietary large language models to help drive that search. That's a very innovative model that we're using rather than relying on conventional search technologies.” - Rhett Alden </p></div></div></div></div></div></div></div><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbnx _16jmeqbq0 _16jmeqbrl _16jmeqbrg _16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_13ht0690 _16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24 _16jmeqb158 _16jmeqb16g _16jmeqb8 _16jmeqb1s"><video src="//videos.ctfassets.net/o78em1y1w4i4/nZuDINzBjabyh9cA6QT4a/8278fca2abcc3859a0ca97c126f044cd/5__AI_security_and_functionality_with_healthcare_considerations.mp4" preload="metadata" style="display:none" aria-hidden="true"></video><div class="_16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24"><div class="_13ht0694" style="transform:none"><img class="_13ht0694 popcxs1 popcxs3 _16jmeqb174" src="//images.ctfassets.net/o78em1y1w4i4/6oNuQA2xtrc6kkY6iEmYWG/4b6b32c44e0dbfce60e10dea3ae730c5/20240712-161534_video_5_-_rhett_alden.jpg?fm=webp&w=1260&q=75" alt="Visionary Voices: AI security and functionality with healthcare considerations " width="1260" height="946" srcSet="//images.ctfassets.net/o78em1y1w4i4/6oNuQA2xtrc6kkY6iEmYWG/4b6b32c44e0dbfce60e10dea3ae730c5/20240712-161534_video_5_-_rhett_alden.jpg?fm=webp&w=1260&q=75 1x, //images.ctfassets.net/o78em1y1w4i4/6oNuQA2xtrc6kkY6iEmYWG/4b6b32c44e0dbfce60e10dea3ae730c5/20240712-161534_video_5_-_rhett_alden.jpg?fm=webp&w=2520&q=75 2x" decoding="async" loading="lazy"/></div><div class="_13ht0692 _16jmeqb30 _16jmeqb3l _16jmeqb4w _16jmeqb5h _16jmeqb6s _16jmeqb7d _16jmeqb8o _16jmeqb99 _16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb1c _16jmeqb11 _16jmeqb4 _16jmeqb9 _16jmeqbs _16jmeqb11g _16jmeqbxc _16jmeqb24"><button class="w17eg90 _16jmeqbu8 _16jmeqbv0 _16jmeqbvs _16jmeqbwk _16jmeqb1w _16jmeqbo _16jmeqb8 w17eg92 w17eg99 _13ht0691 "><svg fill="currentColor" viewBox="0 0 24 24" class="_13ht0698" width="24" height="24"><path fill="currentColor" d="M5.375 20.546v-17l17 8.5-17 8.5Z"></path></svg><span class="_13sjisp0">Play</span></button></div></div><script data-testid="json-ld" type="application/ld+json">{"@context":"https://schema.org/","@type":"VideoObject","name":"Visionary Voices: AI security and functionality with healthcare considerations ","description":"Visionary Voices: AI security and functionality with healthcare considerations ","thumbnailURL":"//images.ctfassets.net/o78em1y1w4i4/6oNuQA2xtrc6kkY6iEmYWG/4b6b32c44e0dbfce60e10dea3ae730c5/20240712-161534_video_5_-_rhett_alden.jpg","embedURL":"//videos.ctfassets.net/o78em1y1w4i4/nZuDINzBjabyh9cA6QT4a/8278fca2abcc3859a0ca97c126f044cd/5__AI_security_and_functionality_with_healthcare_considerations.mp4","uploaddate":"2024-07-11T03:30:37.072Z","inlanguage":"en-US","publisher":{"@type":"Organization","name":"Elsevier","logo":{"@type":"ImageObject","url":"/images/elsevier-logo.svg"}}}</script></div></div></div></article><article class=""><div class="_1u13v720 _16jmeqbi5 _16jmeqbio _16jmeqbkc _16jmeqbkh _16jmeqbkm" style="grid-template-columns:repeat(12, 1fr)"><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbo1 _16jmeqbq0"><div class="_16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><h2 class="m0fuh0 _16jmeqba4 _16jmeqbc4 _16jmeqbe4 _16jmeqbg4 _16jmeqb15t _16jmeqb15u _16jmeqb167 _16jmeqb177 _16jmeqbsk _16jmeqbsu _16jmeqb16k _16jmeqb164" data-heading-level="4">Measuring quality and accuracy of responses in ClinicalKey AI </h2><div class="gv4p8b0 _16jmeqb166 _16jmeqb167"><div data-testid="teaser-list-item"><div class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqbsi _16jmeqbsc _16jmeqb16m" data-text-size="md"><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb0"><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">In this video, data scientist and RN Leah Livingston shares how metrics like accuracy and potential harmfulness are important factors in determining the effectiveness of responses provided in ClinicalKey AI. </p><p class="gv4p8b0 _16jmeqb166 _16jmeqb167 _16jmeqb16w">“Clinicians can trust our results because we’ve partnered with clinicians, statisticians, and data scientists to ensure we’ve powered our study appropriately so that we can ensure reliable and valid data.” - Leah Livingston </p></div></div></div></div></div></div></div><div class="_16jmeqbn4 _16jmeqbn8 _16jmeqbq0 _16jmeqbpd _16jmeqbrh _16jmeqbrg _16jmeqb1s _16jmeqb8 _16jmeqb2c"><div class="_13ht0690 _16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24 _16jmeqb158 _16jmeqb16g _16jmeqb8 _16jmeqb1s"><video src="//videos.ctfassets.net/o78em1y1w4i4/12aJzqmZA5ir40aR7GHuR7/058da0c625a8b2ed8877a8ad8d407b05/6_Measuring_quality_and_accuracy_of_responses_in_ClinicalKey_AI.mp4" preload="metadata" style="display:none" aria-hidden="true"></video><div class="_16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqbx8 _16jmeqb24"><div class="_13ht0694" style="transform:none"><img class="_13ht0694 popcxs1 popcxs3 _16jmeqb174" src="//images.ctfassets.net/o78em1y1w4i4/3uqaIlZkonHEnv64Wc6wbB/668322bb428567b10a60d4590517c999/20240712-161534_video_6_-_leah_livingston.jpg?fm=webp&w=1260&q=75" alt="Visionary Voices: Measuring quality and accuracy of responses in ClinicalKey AI " width="1260" height="946" srcSet="//images.ctfassets.net/o78em1y1w4i4/3uqaIlZkonHEnv64Wc6wbB/668322bb428567b10a60d4590517c999/20240712-161534_video_6_-_leah_livingston.jpg?fm=webp&w=1260&q=75 1x, //images.ctfassets.net/o78em1y1w4i4/3uqaIlZkonHEnv64Wc6wbB/668322bb428567b10a60d4590517c999/20240712-161534_video_6_-_leah_livingston.jpg?fm=webp&w=2520&q=75 2x" decoding="async" loading="lazy"/></div><div class="_13ht0692 _16jmeqb30 _16jmeqb3l _16jmeqb4w _16jmeqb5h _16jmeqb6s _16jmeqb7d _16jmeqb8o _16jmeqb99 _16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb1c _16jmeqb11 _16jmeqb4 _16jmeqb9 _16jmeqbs _16jmeqb11g _16jmeqbxc _16jmeqb24"><button class="w17eg90 _16jmeqbu8 _16jmeqbv0 _16jmeqbvs _16jmeqbwk _16jmeqb1w _16jmeqbo _16jmeqb8 w17eg92 w17eg99 _13ht0691 "><svg fill="currentColor" viewBox="0 0 24 24" class="_13ht0698" width="24" height="24"><path fill="currentColor" d="M5.375 20.546v-17l17 8.5-17 8.5Z"></path></svg><span class="_13sjisp0">Play</span></button></div></div><script data-testid="json-ld" type="application/ld+json">{"@context":"https://schema.org/","@type":"VideoObject","name":"Visionary Voices: Measuring quality and accuracy of responses in ClinicalKey AI ","description":"Visionary Voices: Measuring quality and accuracy of responses in ClinicalKey AI ","thumbnailURL":"//images.ctfassets.net/o78em1y1w4i4/3uqaIlZkonHEnv64Wc6wbB/668322bb428567b10a60d4590517c999/20240712-161534_video_6_-_leah_livingston.jpg","embedURL":"//videos.ctfassets.net/o78em1y1w4i4/12aJzqmZA5ir40aR7GHuR7/058da0c625a8b2ed8877a8ad8d407b05/6_Measuring_quality_and_accuracy_of_responses_in_ClinicalKey_AI.mp4","uploaddate":"2024-07-11T03:35:48.018Z","inlanguage":"en-US","publisher":{"@type":"Organization","name":"Elsevier","logo":{"@type":"ImageObject","url":"/images/elsevier-logo.svg"}}}</script></div></div></div></article></div></div></div></div></div></div></div></div><article class="_1my0hhl0 _1my0hhl1 _99wljg4d _16jmeqb3c _16jmeqb3h _16jmeqb3q _16jmeqb58 _16jmeqb5d _16jmeqb5m _16jmeqb74 _16jmeqb79 _16jmeqb7i _16jmeqb90 _16jmeqb95 _16jmeqb9e _16jmeqbu4 _16jmeqbuw _16jmeqbvo _16jmeqbwg _16jmeqb1s _16jmeqb4 _16jmeqba _16jmeqbx8 _16jmeqb16g"><div class="_1u13v720 _16jmeqbiw _16jmeqbi5 _16jmeqbkc _16jmeqbkh _16jmeqbkm _16jmeqb8 _16jmeqb24" style="grid-template-columns:repeat(12, 1fr)"><div class="_16jmeqbn4 _16jmeqbmi _16jmeqbe4"><div class="_11n1l8c0 _16jmeqbio _16jmeqbkk _16jmeqb1s _16jmeqb18 _16jmeqb0"><h2 class="m0fuh0 _16jmeqba4 _16jmeqbc4 _16jmeqbe4 _16jmeqbg4 _16jmeqb15t _16jmeqb15u _16jmeqb167 _16jmeqb177 _16jmeqbsk _16jmeqbsu _16jmeqb16k _16jmeqb164" data-heading-level="4">ClinicalKey AI: Trusted content. Powered by responsible AI. </h2><div class="_16jmeqbik _16jmeqbkg _16jmeqb1s _16jmeqb18 _16jmeqb11 _16jmeqb4 _16jmeqb9" data-testid="banner-button"><a class="_1d3he28a _16jmeqbts _16jmeqbuk _16jmeqbvc _16jmeqbw4 _16jmeqb1o _16jmeqbo _16jmeqb8 _16jmeqb1er _16jmeqb1cn _16jmeqb1cs _16jmeqb1cx _16jmeqb1d2 _16jmeqb1f9 _1d3he285 _16jmeqb8k _16jmeqb8q _16jmeqb4s _16jmeqb4y _16jmeqb2w _16jmeqb6o _16jmeqb183 _16jmeqb18d _16jmeqb18i _16jmeqb19z _16jmeqb1ae _16jmeqb1d2 _16jmeqb1w _16jmeqb28" href="/products/clinicalkey/clinicalkey-ai/join-us"><div class="_1d3he282"><span class="_16jmeqb1w _16jmeqb10 _16jmeqb8 _16jmeqb1er _16jmeqb1es"><span class="gv4p8b0 _16jmeqb166 _16jmeqb167">Join the journey today</span></span></div></a></div></div></div></div><picture class=""><source width="2242" height="764" media="(min-width: 1024px)" srcSet="//images.ctfassets.net/o78em1y1w4i4/aR7MGEQnR3QrHFlpnDK3g/57250002b04d89a7dc23e75d15488ddc/banner_image-gai-final.jpg?fm=webp&w=640&q=75 640w, 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