Applied AI Summit Healthcare
Free online conference | April 14-15, 2026Watch Applied Healthcare AI Summit 2026
Day 1 | Applied Healthcare AI
Solving the Grand Challenges of Healthcare AI: The Trust Stack for the Regulatory-Grade Era [Keynote]
David Talby
CEO at John Snow Labs
Building Autonomous Agentic Workflows with the Patient Journey Intelligence Platform [Keynote]
Veysel Kocaman
MedHELM and the Next Phase of Open Medical AI Evaluation [Keynote]
Suhana Bedi
PhD Candidate at Stanford University
Miguel Fuentes
Research Engineer at Stanford Medicine
AI-Augmented Diagnostics: Where Are We Actually Saving Lives? [Keynote]
Bhavuk Jain
Tech Lead Manager – Applied AI at Google
Engineering Trust: A Governance Framework for Science Communication AI [Keynote]
Brinleigh Murphy-Reuter
Founder & CEO at Science 2 People
Anju Aggarwal
Head of Strategic Programs at Pacific AI
AI Engine to Maximize Commercial Reach
Shihan He
Machine Learning Engineer at Novo Nordisk Inc.
Beyond the Pilot: Scaling and Adopting Unified AI for the 2026
Alice Chung
Field Medical Integrated Engagement & Process Enablement Lead at Genentech
Interpretability Techniques for Large Language Models in Healthcare NLP: A Comparative Analysis of Token-Level, Model-Level, and Behavior-Level Methods.
Jahnavi Anilkumar Kachhia
Senior Software Engineer at Accompany Health
Testing 1, 2, 3: Using the GenAI Lab to Advance Assessment in Medical Education
Janet Mee
Measurement Scientist at NBME
From Guardrails to Culture: How Teams Operationalize Responsible AI, Not Just Document It
Shweta Agrawal
Chief Product Officer at Boston New Technology
Unified AI Architectures: Consolidating 2,000+ Healthcare Models into a High-Reliability Deployment Framework
Adam Hasham
Director, AI/ML Engineering at Vizient
Eric Hixson
VP of Data Science & Methodology at Vizient
High-Accuracy Digitization for Millions of Handwritten Pharmacy Records Using Medical Visual Language Models
Nima Babazadeh
Enterprise Data and AI Architect at EBOS Group
Jiri Dobes
Head of Solutions at John Snow Labs
When the Safety Net Becomes the Attack Vector: Adversarial Failures in Healthcare AI Guardrails
Richard Young
Senior AI/ML Researcher at UnitedHealth Care
AI Governance and the Geneva AI Framework – Building Trustworthy and Responsible AI Ecosystems
Durga Chavali
IT leader and AI researcher at Oklahoma State University
AI in Employer Sponsored Insurance
Preeti Vaidya
Executive Director, Data & AI at Morgan Health, JPMorgan Chase
From Words to Meaning: How LLM Embeddings Are Transforming Healthcare Data
Shraddha Gupta
Data Scientist at The Resource Group
Residual PHI risk in Clinical NLP: Why high F1 scores still fail HIPAA compliance
Vaibhava Lakshmi Ravideshik
AI and Growth Lead at GRAIL
Day 2 | Applied AI Governance
Proving Regulatory-Grade Accuracy and Provenance in Automated Cancer Registries [Keynote]
Dia Trambitas
Head of Product at John Snow Labs
From Guardrails to Guardians: Continuous Red Teaming and Holistic Safety for Agentic Healthcare AI [Keynote]
Julio Bonis
Principal Data Scientist at Pacific AI
Democratizing High-Quality Healthcare Analytics with the Open-Source Tuva Project [Keynote]
Aaron Neiderhiser
CEO at Tuva Project
Proving Regulatory-Grade Accuracy in AI-Driven HCC Coding [Keynote]
Ritwik Jain
Co-Founder at Martlet AI
Hasham Ul Haq
Co-Founder at Martlet AI
Unlocking Multimodal Data for Secondary Use: How Baptist Health Powers Discovery with the Patient Journey Intelligence Platform [Keynote]
Nila Bhakuni
AVP Innovation at Baptist Health South Florida
Linda Chen
COO at John Snow Labs
High-Trust Healthcare AI: Privacy, Performance, and Platform Thinking
Neel Gandhi
Machine Learning Software Engineer at Google
Clinical Documentation AI in the Real World: What Works, What Breaks, and Why
Dhini Nas
Founder and CEO at ParaDocs Health
Governance-First AI for Clinician Coaching: Reduce Risk While Accelerating Skills and Confidence
Brian Green
Chief AI Officer & Strategist at Health-Vision.AI, LLC
From data archives to discovery engines: AI-powered semantic integration of massive public research data
Arjun Krishnan
Associate Professor at University of Colorado Anschutz
The Last Mile of Healthcare AI: Why Your LLM Is Only as Good as the Humans Curating Its Output
Núria Negrão
Medical Writer | AI Adoption Strategist at Nuria Negrao LLC
G.A.M.E.R.S: Graph Agents with Multimodal Entities and Reasoning Schemas in Clinical World
Krishnendu Dasgupta
Founder @ AXONVERTEX AI, CTO & Co-Founder @ TrialBridge AI at AXONVERTEX AI [ Founder ], Trialbridge [CTO, Co-Founder ]
Test-free Zero-contact Point-of-care Universal Screening of Complex Diseases
Ishanu Chattopadhyay
Assistant Professor of Biomedical Informatics and Computer Science at University of Kentucky
Trust but Verify: Architecting Self-Correcting RAG for Healthcare Decision Support
Dippu Kumar Singh
Leader Of Emerging Technologies at Fujitsu North America Inc.
Scaling Responsible AI through Experimentation and Evaluation
Anil Pantangi
Sr Product & Tech Leader, AI & Analytics at Capgemini America Inc
Scaling Imbalanced ML from Financial Fraud to Clinical Risk: A Practical Deployment Framework
Maral Karbaschi
Researcher, Academic advisor at Alzahra University/ AbroadIn
Predicting Time-to-Next-Treatment in Oncology Using Survival-Based Machine Learning Models
Hemanth Dandu
Associate Director, Data Science and Advanced Analytics at IQVIA
Transforming Patient Outcomes Through Real-Time Clinical Communication Systems
Akhilesh Bollam
Software Development Engineer at Amazon