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Digital Orthopaedics Conference (DOCSF)에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Digital Orthopaedics Conference (DOCSF) 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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DOCSF 2023: DOCSF SCIENCE - LLMs & AI Chatbots

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Manage episode 370900154 series 2598190
Digital Orthopaedics Conference (DOCSF)에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Digital Orthopaedics Conference (DOCSF) 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

AI and Machine Learning are revolutionizing healthcare.

In this episode, we explore three papers that demonstrate the application of these cutting-edge tools in healthcare, hosted by Fabrizio Billi, Ph.D. (UCLA) with Panelists: Gavin Pereira, MD (UC Davis Health), Thomas Peterson, Ph.D. (UCSF), and Alan Young, MD(McKinsey & Company).

The first paper focuses on the use of machine learning and autonomous actions for surgical decision-making. It highlights the potential benefits, including reduced clinician burden and automated processes. However, the paper also acknowledges the challenges of developing AI models, such as addressing bias. The other two papers center around chatbots in healthcare. One evaluates the successful performance of ChatGPT in responding to mental health vignettes, while the other automates a chatbot for patient-provider communication. However, one paper reveals that the chatbot falls short and was found to address less than one-third of patient questions, emphasizing the need for improvement in its capabilities.

While AI and Machine Learning offer great potential benefits for healthcare, it's crucial to recognize their limitations and the ongoing need for further development and refinement. Discover the evolving landscape of AI and Machine Learning in healthcare in this episode!

  continue reading

146 에피소드

Artwork
icon공유
 
Manage episode 370900154 series 2598190
Digital Orthopaedics Conference (DOCSF)에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Digital Orthopaedics Conference (DOCSF) 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

AI and Machine Learning are revolutionizing healthcare.

In this episode, we explore three papers that demonstrate the application of these cutting-edge tools in healthcare, hosted by Fabrizio Billi, Ph.D. (UCLA) with Panelists: Gavin Pereira, MD (UC Davis Health), Thomas Peterson, Ph.D. (UCSF), and Alan Young, MD(McKinsey & Company).

The first paper focuses on the use of machine learning and autonomous actions for surgical decision-making. It highlights the potential benefits, including reduced clinician burden and automated processes. However, the paper also acknowledges the challenges of developing AI models, such as addressing bias. The other two papers center around chatbots in healthcare. One evaluates the successful performance of ChatGPT in responding to mental health vignettes, while the other automates a chatbot for patient-provider communication. However, one paper reveals that the chatbot falls short and was found to address less than one-third of patient questions, emphasizing the need for improvement in its capabilities.

While AI and Machine Learning offer great potential benefits for healthcare, it's crucial to recognize their limitations and the ongoing need for further development and refinement. Discover the evolving landscape of AI and Machine Learning in healthcare in this episode!

  continue reading

146 에피소드

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