Integrating Document Understanding, Reasoning, and Conversational Medical LLMs to Build Patient Journeys and Cohorts
- Document understanding and information extraction – extracting facts from unstructured text and images, resolving them to standard medical codes & terminologies, and de‑identifying multi‑modal data.
- Reasoning – reasoning LLMs are required to accurately handle uncertain, noisy, duplicate, or irrelevant data, as well as information that changes over time.
- Question answering – answering natural language questions about cohort creation, patient history, or instructing an agent to act, requires a deep understanding of the underlying data model, and a way to explain nuances and follow‑up questions to the user.
This keynote is intended for anyone building Generative AI solutions in healthcare that must reason over clinical data and wants to understand the current best‑in‑class models and architectures.

David Talby
CEO 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.