์ฃผ์š” ์ฝ˜ํ…์ธ ๋กœ ๊ฑด๋„ˆ๋›ฐ๊ธฐ

๊ท€ํ•˜์˜ ๋ธŒ๋ผ์šฐ์ €๊ฐ€ ์™„๋ฒฝํ•˜๊ฒŒ ์ง€์›๋˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์˜ต์…˜์ด ์žˆ๋Š” ๊ฒฝ์šฐ ์ตœ์‹  ๋ฒ„์ „์œผ๋กœ ์—…๊ทธ๋ ˆ์ด๋“œํ•˜๊ฑฐ๋‚˜ Mozilla Firefox, Microsoft Edge, Google Chrome ๋˜๋Š” Safari 14 ์ด์ƒ์„ ์‚ฌ์šฉํ•˜์„ธ์š”. ๊ฐ€๋Šฅํ•˜์ง€ ์•Š๊ฑฐ๋‚˜ ์ง€์›์ด ํ•„์š”ํ•œ ๊ฒฝ์šฐ ํ”ผ๋“œ๋ฐฑ์„ ๋ณด๋‚ด์ฃผ์„ธ์š”.

์ด ์ƒˆ๋กœ์šด ๊ฒฝํ—˜์— ๋Œ€ํ•œ ๊ท€ํ•˜์˜ ์˜๊ฒฌ์— ๊ฐ์‚ฌ๋“œ๋ฆฝ๋‹ˆ๋‹ค.์˜๊ฒฌ์„ ๋ง์”€ํ•ด ์ฃผ์„ธ์š”

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์—˜์Šค๋น„์–ด์™€ ํ•จ๊ป˜ ์ถœํŒ

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Advice to clinicians considering AI support in decision making

Visionary Voices: Advice to clinicians considering AI support in decision making

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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.ย 

โ€œFor us itโ€™s super critical that this content is delivered in a very responsible way to healthcare providers across the globe.โ€ - Jan Herzhoffย 

Potential challenges for implementing AI for physicians

Visionary Voices: Potential challenges for implementing AI for physicians

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In this video, Elsevier Healthโ€™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.ย ย 

โ€œOne 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 theyโ€™re receiving.โ€ย  - Dr. Claudine Lottย ย 

The future impact of AI in healthcare

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In this video, Elsevier Healthโ€™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.ย 

โ€œIn 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.โ€ย  - Katie Scrantonย 

Measuring quality and accuracy of responses in ClinicalKey AI

Visionary Voices: Measuring quality and accuracy of responses in ClinicalKey AI

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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.ย 

โ€œClinicians can trust our results because weโ€™ve partnered with clinicians, statisticians, and data scientists to ensure weโ€™ve powered our study appropriately so that we can ensure reliable and valid data.โ€ย  - Leah Livingstonย