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

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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