Subvolts take OpenAI leaders detail how AI can solve healthcare's biggest problems, from patient care to system efficiency. Mar 16, 2026 - Developers
- Learn how OpenAI trains models for sensitive health data and the strategy behind building clinician tools.
- Business
- Understand the challenges and opportunities of deploying AI in healthcare systems and potential patient benefits.
- Everyday users
- Discover practical, everyday uses of AI health assistants and how AI might improve your healthcare experience.
This is a solid interview with key OpenAI leaders discussing a critical application of AI in a major industry.
Building AI for better healthcare - Episode 14
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
OpenAI's Head of Health, Dr. Nate Gross, and Health AI Research lead Karan Singhal discuss AI's role in improving healthcare. They explain how OpenAI trains models for sensitive health data, develops tools for patients and clinicians, and addresses challenges in deploying AI within healthcare systems. The episode covers practical uses and clinician feedback.
This episode explains how AI can help fix healthcare problems. OpenAI is teaching computers to understand private health information and build tools for doctors and patients. This could make healthcare better for everyone.
This episode offers insight into how a leading AI lab approaches the complex and sensitive healthcare sector. It's for anyone interested in AI's practical applications beyond general consumer use, particularly those in healthcare or AI development. It shows OpenAI's strategic focus on specialized domains, mirroring efforts across frontier labs to find high-impact, real-world uses for their advanced models.
- HostAndrew Mayne
- GuestNate GrossHead of Health, OpenAI
- GuestKaran SinghalHealth AI Research Lead, OpenAI
- Episode Title: Building AI for better healthcare - Episode 14
- Show: The OpenAI Podcast
- Length: 31 minutes
- Guests: Dr. Nate Gross, Karan Singhal
- Topic: AI for healthcare challenges
Healthcare systems around the world are under strain, and both patients and clinicians are feeling the impact. OpenAI's Head of Health Dr. Nate Gross and Karan Singhal, who leads Health AI Research, discuss how AI can help address the biggest challenges. They cover how OpenAI is training models to handle sensitive health questions in collaboration with physicians, and how that foundation is unlocking a new generation of tools for patients, clinicians, and healthcare systems.
Chapters
00:00:38 – Origins of Nate and Karan’s interest in AI and healthcare
00:05:01 – Strategy for building AI tools for clinicians
00:06:57 – How AI models are trained for health use cases
00:10:15 – How OpenAI is able to score well on health evals
00:14:21 – Key challenges deploying AI in healthcare
00:21:05 – Collaboration with hospitals and healthcare systems
00:23:05 – Practical everyday uses of AI health assistants
00:26:43 – Biggest “wow” moment during development
00:28:46 – Feedback from clinicians and early users
Hosted on Acast. See acast.com/privacy for more information.
- AI models
- Nate Gross, Karan Singhal
- computer programs that can learn and make decisions
- health evals
- Nate Gross, Karan Singhal
- tests to see how well AI performs on health-related tasks
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Questions people ask
- How does OpenAI train AI for health questions?
- OpenAI collaborates with physicians to train models to handle sensitive health questions, building a foundation for new healthcare tools.
- What are the benefits of AI in healthcare discussed?
- AI can help address major challenges facing healthcare systems, patients, and clinicians, leading to a new generation of health tools.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to OpenAI.