The NLP Summit is now the
Applied Healthcare AI Summit
Free online conference | April 14-15, 2026
SUMMITS
SPEAKERS
DATA SCIENTISTS
PARTICIPATING COMPANIES
ARTICLES IN THE PRESS
Join the global leading community of applied AI professionals.
Applied Healthcare AI Summit 2026
This global, 2-day event dives deep into real-world applications of generative AI, large language models (LLMs), and advanced NLP across healthcare.
Now in its 7th year, the Applied Healthcare AI Summit features 30+ keynote presentations and expert-led sessions showcasing practical case studies, implementation strategies, and the latest breakthroughs in open-source models, tools, and frameworks.
Discover how healthcare organizations are deploying LLMs at scale, navigating ethical and technical challenges, and unlocking real business value through applied AI.
Keynote Speakers

Dia Trambitas
Head of Product
at

Durga Chavali
IT leader and AI researcher
at Oklahoma State University

David Talby
CEO
at

Veysel Kocaman
CTO
at John Snow Labs
Confirmed Speakers

Shihan He
Machine Learning Engineer
at Novo Nordisk Inc.

Adam Hasham
Lead AI/ML Engineer
at Vizient

Neel Gandhi
Machine Learning Software Engineer
at Google

Janet Mee
Measurement Scientist
at NBME

Mugdha Tasgaonkar
AI COE Engineering Manager
at Medtronic

Jahnavi Anilkumar Kachhia
Global Product Owner, AI & ML
at Abbott

Brian Green
Chief AI Officer & Strategist
at Health-Vision.AI, LLC

Safiia Mohammed
CEO
at Cushites Canadian Enterprise

Ishanu Chattopadhyay
Assistant Professor of Biomedical Informatics and Computer Science
at University of Kentucky

Arjun Krishnan
Associate Professor
at University of Colorado Anschutz

Getrude Gichuhi
Assistant Project Manager - E-Health Department
at Strathmore University

Anil Pantangi
Sr Product & Tech Leader, AI & Analytics
at Capgemini America Inc

Maral Karbaschi
Researcher, Academic advisor
at Alzahra University/ AbroadIn
Testimonials
“What a brilliant event with a fantastic variety of topics and great speakers!”
“The virtual format is really helpful. It was great opportunity to learn and interact at the comfort of our home.”
“Thank you for your efforts and enthusiasm to create such a fantastic event!”
“Amazing job on organising such a fantastic event, congrats! The talk was very enjoyable and it was great to see the audience engage with questions.”
“NLP as a whole is such a daunting topic, but I really appreciate being able to go deep in one application area while keeping tabs on use cases in other fields. Keep up the great work!”
“Really enjoyed the look of the conference, nicer flow than other virtual technical events I’ve attended.”
“5 stars. Thank you for the enormous amount of work that went into making this event so informative for the community.”
“YOU WERE GREAT! THE BEST SUMMIT!!!”
“I learned a lot from this summit. I received a ton of information on NLP use cases in the health domain. Really good content and very useful information shared by the speakers! Again, thank you so much to the whole team.”
“My sincere thank you for having me as a speaker at the NLP Summit! It has been a wonderful experience and I had many people from my team/company who learned a lot from the talks. Thank you for this platform.”
“I truly enjoyed the Summit. Super thankful for this event. Looking forward to so much more!”
“Amazing job on organising such a fantastic event, congrats! The talk was very enjoyable and it was great to see the audience engage with questions.”
“The event is very useful and we need more subjects like these to be discussed!”
“I just wanted to say thank you for putting on an awesome summit. I was expecting long sales pitches like other conferences, but you put together a really useful program that took us near the state-of-the-art.”
“Thank you very much! I love this event. Congratulations!”
Participating Companies
Apply to Speak
Interested in sharing your insights at the Applied AI Summit?
Apply to speak on one of our three themed days by filling out the form below.
Day 1
Applied Healthcare AI
- LLM applications in clinical and biomedical workflows
- Improving patient care with generative AI
- Privacy, security, and compliance in healthcare AI
- Automating clinical documentation and summarization
- Automating research, systematic reviews, and RAG discoveries
- AI adoption across healthcare systems
Day 2
Applied AI Governance
- Measuring Model Safety, Bias, and Transparency
- Open Source Libraries for Red Teaming and Model Testing
- Global AI regulations and enterprise readiness
- Governance strategies for responsible AI use
- Human oversight and ethical AI practices
- Implementing guardrails and firewalls