Applied AI Summit Healthcare
Free online conference | April 14-15, 2026Schedule
Day 1 – Applied Healthcare AI
Tuesday, April 14
(All times are US Eastern Time)
12:05 pm ET – 12:25 pm ET
Solving the Grand Challenges of Healthcare AI: The Trust Stack for the Regulatory-Grade Era
Keynote Speaker: David Talby – CEO at John Snow Labs
12:25 pm ET – 12.45 pm ET
Building Autonomous Agentic Workflows with the Patient Journey Intelligence Platform
Keynote Speaker: Veysel Kocaman – CTO at John Snow Labs
12:45 pm ET – 1:05 pm ET
MedHELM and the Next Phase of Open Medical AI Evaluation
Keynote Speaker: Suhana Bedi – PhD Candidate at Stanford University
Keynote Speaker: Miguel Fuentes – Research Engineer at Stanford Medicine
1:05 pm ET – 1:25 pm ET
AI-Augmented Diagnostics: Where Are We Actually Saving Lives?
Keynote Speaker: Bhavuk Jain – Tech Lead Manager – Applied AI at Google
1:25 pm ET – 1:45 pm ET
Engineering Trust: A Governance Framework for Science Communication AI
Keynote Speaker: Brinleigh Murphy-Reuter – Founder & CEO at Science 2 People
Keynote Speaker: Anju Aggarwal – Head of Solutions at Pacific AI
2:00 pm ET – 2:30 pm ET
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
2:35 pm ET – 3:05 pm ET
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 BNT
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
3:10 pm ET – 3:40 pm ET
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
3:45 pm ET – 4:15 pm ET
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
Wednesday, April 15
(All times are US Eastern Time)
12:05 pm ET – 12:25 pm ET
Proving Regulatory-Grade Accuracy and Provenance in Automated Cancer Registries
Keynote Speaker: Dia Trambitas – Head of Product at John Snow Labs
12:25 pm ET – 12.45 pm ET
From Guardrails to Guardians: Continuous Red Teaming and Holistic Safety for Agentic Healthcare AI
Keynote Speaker: Julio Bonis – Principal Data Scientist at Pacific AI
12:45 pm ET – 1:10 pm ET
Democratizing High-Quality Healthcare Analytics with the Open-Source Tuva Project
Keynote Speaker: Aaron Neiderhiser – CEO at Tuva Project
1:10 pm ET – 1:30 pm ET
Proving Regulatory-Grade Accuracy in AI-Driven HCC Coding
Keynote Speaker: Ritwik Jain – Co-Founder at Martlet AI
Keynote Speaker: Hasham Al Haq – Co-Founder at Martlet AI
1:30 pm ET – 1:55 pm ET
Unlocking Multimodal Data for Secondary Use: How Baptist Health Powers Discovery with the Patient Journey Intelligence Platform
Keynote Speaker: Nila Bhakuni – AVP Innovation at Baptist Health South Florida
Keynote Speaker: Linda Chen – COO at John Snow Labs
2:00 pm ET – 2:30 pm ET
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
2:35 pm ET – 3:05 pm ET
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 ]
3:10 pm ET – 3:40 pm ET
Digital Transformation in African Hospitals: A Framework for AI Adoption & Health Worker Readiness
Getrude Gichuhi – Assistant Project Manager – E-Health Department at Strathmore University
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