Benchmarks of the Healthcare GPT Model

This session covers recent accuracy benchmarks of John Snow Labs’ Healthcare-GPT model, which is available through the medical chatbot platform, for three use cases:

Medical Question Answering: Asking about current medical research, clinical guidelines, or clinical trial results.

Information Extraction: Getting oncology-specific facts, drug & treatments, or de-identification for a clinical note.

Document Understanding: Answering about long PDF documents like insurance plans or trial protocols, including private knowledge bases.

About the speaker

David Talby

CTO at John Snow Labs

David Talby is the Chief Technology Officer at John Snow Labs, helping companies apply artificial intelligence to solve real-world problems in healthcare and life science.

David is the creator of Spark NLP – the world’s most widely used natural language processing library in the enterprise. He has extensive experience building and running web-scale software platforms and teams – in startups, for Microsoft’s Bing in the US and Europe, and to scale Amazon’s financial systems in Seattle and the UK.

David holds a Ph.D. in Computer Science and Master’s degrees in both Computer Science and Business Administration. He was named USA CTO of the Year by the Global 100 Awards in 2022 and Game Changers Awards in 2023.




Sessions: April 2nd – 3rd 2024
Trainings: April 15th – 19th 2024


Presented by