์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”ย ์ƒˆ ํƒญ/์ฐฝ์—์„œ ์—ด๊ธฐ

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Visionary Voices

Hear from Elsevier Health leaders on AI in healthcare

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Advice to clinicians considering AI support in decision making

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

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

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

Katie Scranton video screenshot

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

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