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

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

4d ago 56:57

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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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