Gen AI in Health: What's New in 2026?
summary
Clinic workflows now show patients arriving with GPT‑5.5 and Gemini 3.5 outputs asking for specific treatments, and ambient audio capture plus agentic AI in EHR systems generate summaries and orders; visual models paired with reporting tools create visual language models that label and localize findings. Published Nature Medicine studies demonstrate agentic workflows and warn of deskilling, while industry data cites 200,000 jobs lost Q1 2026. Drug discovery and temporal prediction pipelines run agentic agents for dynamic risk forecasts and claim medical super intelligence 4x accuracy.
AI-written summary · about
chapters (12)
- 0:00Introduction and background
- 1:33Patient use of AI in healthcare
- 3:00Agentic AI in medicine
- 6:57Will AI replace physicians?
- 8:22Training doctors in AI era
- 10:32AI in drug discovery
- 12:35Hiring and workforce impact
- 14:47Industry 5.0 and AI race
- 16:09Healthcare challenges and longevity
- 18:20Medical super intelligence
- 19:23Innovation and commercialization
- 20:08Future of medical AI
related talks
22mThe Future of AI and Digitally Enabled Health & Medicine: What's Next
14mHow Gen AI Agents Will Bring an Era of Healthcare Abundance
15mWhat’s Next in Medical AI?
47mThe Future of Healthcare and AI
28mThe Future of Healthcare – AI’s Promise and the Challenges Ahead
01h 01mKeynote Panel: Future of AI agents
45mGenerative AI in medicine: Improving patient & provider experiences
23mAI in the Life Science Sector
