People of Pathology Podcast

Episode 184: Dr Simone Arvisais-Anhalt And Dr Daniel Qazi: Large Language Models In Pathology: From Chat GPT to Retrieval Augmented Generation

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My guests today are Dr Simone Arvisais-Anhalt and Dr Daniel Qazi.   

  • We discussed the benefits of using LLMs in pathology, including creating outlines, data analysis, and translating reports for patients
  • There are also challenges in the use LLMs, such as hallucinations and bias
  • Dr. Arvisais-Anhalt and Dr. Qazi described their study on using LLMs in clinical practice
  • They were some interesting findings from the study, including different use cases and limitations of the tool
  • We talked about future plans to implement retrieval augmented generation for tailored responses in pathology and laboratory medicine

    • Links for this episode:

    Health Podcast Network

     LabVine Learning

    Dress A Med scrubs

    Digital Pathology Club

     

    Establishing priorities for implementation of large language models in pathology and laboratory medicine

    What is Retrieval Augmented Generation?

     

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