Building AI for better healthcare — the OpenAI Podcast Ep. 14

ℹ️ EPISODE INFO

Released

March 16, 2026

Duration

30m

Channel

OpenAI

Watch on YouTube

▶ Open ↗

📝 EPISODE DESCRIPTION

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

🎤 SPEAKERS

• Andrew Mayne

  host

  Host of the OpenAI Podcast.

• Karan Singhal

  guest

  Leads Health AI Research at OpenAI, focusing on model training, evaluation, and deployment in clinical workflows.

• Dr. Nate Gross

  guest

  Head of Health at OpenAI and a physician with clinical training (including Emory/Grady) focused on applying AI in healthcare.

🧾 EPISODE SUMMARY

In this episode of OpenAI, featuring Andrew Mayne and Karan Singhal, Building AI for better healthcare — the OpenAI Podcast Ep. 14 explores openAI’s approach to safe, context-aware AI in healthcare workflows OpenAI frames healthcare as a high-impact, high-stakes domain where AI can expand access, reduce gaps in care, and support both patients and clinicians at scale.

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