Applied Natural Language Processing in Healthcare
Join the world’s largest applied NLP community at the virtual Healthcare NLP Summit 2025! Two days of immersive content, focusing on generative AI and natural language processing applications in healthcare and life sciences. Now in its fifth year, the Healthcare NLP Summit will feature
30+ keynotes and expert sessions showcasing LLM & NLP best practices, real-world use cases, challenges in applying these technologies in practice – and the latest open-source libraries, models & tools you can use today. Join live Q&A sessions with the speakers, connect with others through networking features, and access all content on-demand after the event.
The second week will feature beginner to advanced live training workshops and certifications. Learn, share, and apply best practices for putting AI to good use!
Confirmed Speakers
Krishnaram Kenthapadi
Chief Scientist, Clinical AI at Oracle Health AI
David Talby
CTO
at John Snow Labs
Yasmin Karsan
Company Clinical Safety Officer and Founder at Digital Clinical Safety
Nicolay Rusnachenko
Research Fellow at Bournemouth University
Veysel Kocaman
Head of Data Science at John Snow Labs
Vasantha Kumar Venugopal
Adjunct Professor & Chief Medical Officer at School of AI, Amrita Vishwapeetham & CARPL.ai
Yee Ang
Consultant at National Healthcare Group
Jabeen Fayyaz
Associate Professor, The Hospital for Sick Children
Dia Trambitas
Head of Product
at John Snow Labs
Chris Haddad
Machine Learning Solutions Architect at Amazon
Jonathan Gold
Health Director of Clinical Informatics at innoVet
About
The NLP Summit is the gathering place for those putting state-of-the-art natural language processing and large language models to good use. This fifth edition of the virtual conference showcases AI best practices, real-world case studies, challenges in applying Generative AI in practice – and the latest open-source libraries, models & tools you can use today.
Topics Covered
- Information extraction from natural language documents
- Clinical natural language understanding
- Applying large language models in healthcare
- Building knowledge graphs from large document repositories
- RAG LLM tools, applications, and best practices
- Multi-modal AI in medicine
- Responsible AI tools & benchmarks
- Compute and cost-efficient scaling of LLMs