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?   People of Pathology Podcast: Twitter Instagram