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Karan Singhal

Head of Health AI, OpenAI

Verified interview transcripts, podcast appearances, and direct quotes from Karan Singhal, Head of Health AI at OpenAI. AI-verified speaker identity with full-text searchable transcripts.

Recent appearances

  • Should You Trust ChatGPT With Your Health?

    More than 300 million people use ChatGPT for health and wellness questions each week. OpenAI’s Karan Singhal thinks that’s only the beginning: the longer-term goal is AI that can help people navigate their health proactively, while making trustworthy medical intelligence dramatically more accessible. Karan joins a16z Partner Jay Rughani to explain why OpenAI trains healthcare expertise directly into its general-purpose frontier models, how it works with hundreds of medical experts to evaluate safety and disagreement, and why the company sees AI as a complement to doctors rather than a replace…

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  • OpenAI’s Karan Singal on HealthBench and the Future of Medical AI

    Medical expertise has always been scarce. Dr. Karan Singal believes AI can help change that. Drawing on his work at OpenAI and earlier efforts behind Med‑PaLM, he discusses how clinicians and patients are already using AI to answer questions, support decisions, and navigate care. He argues that the future of health AI is not only about improving model performance, but also about helping people advocate for themselves more effectively. Through HealthBench and ChatGPT for Clinicians, his team is exploring how to make these systems safer, more useful, and more trustworthy. The result is a vision…

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

    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 tool…

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  • Universal Medical Intelligence: OpenAI's Plan to Elevate Human Health, with Karan Singhal

    Karan Singhal, Head of Health AI at OpenAI, explains how ChatGPT Health is achieving attending-physician-level performance and already serving hundreds of millions of users. He details how OpenAI works with over 250 doctors, built the 49,000-criteria HealthBench evaluation, and ran one of the first randomized trials of AI copilots in clinical care. The conversation explores privacy and safety safeguards, medical multimodality, N-of-1 treatment plans, and how AI could become a standard part of global medical practice. Nathan uses Granola to uncover blind spots in conversations and AI research.…

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  • Rising Stars #4: Karan Singhal (Google) - LLMs for Transformative Healthcare at Scale (Med-PaLM)

    Abstract: Increasingly capable AI is likely to be widely transformative within the next decade. Healthcare may be the area where this impact is most profound, as foundation models have the potential to increase quality and access to care and accelerate biomedical scientific discovery. Existing models have limitations that prevent their uptake in real-world workflows; limited reliability, interactivity, and alignment with human values are all crucial problems in this high-stakes setting. I will discuss three recent works from my team that aim to measure and mitigate these limitations: Med-P…

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  • No Priors Ep. 17 | With Karan Singhal

    What if AI could revolutionize healthcare with advanced language learning models? Sarah and Elad welcome Karan Singhal, Staff Software Engineer at Google Research, who specializes in medical AI and the development of MedPaLM2. On this episode, Karan emphasizes the importance of safety in medical AI applications and how language models like MedPaLM2 have the potential to augment scientific workflows and transform the standard of care. Other topics include the best workflows for AI integration, the potential impact of AI on drug discoveries, how AI can serve as a physician's assistant, and how…

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  • MedAI #72: Large Language Models Encode Clinical Knowledge | Karan Singhal

    Title: Large Language Models Encode Clinical Knowledge Speaker: Karan Singhal Abstract: Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation, but the quality bar for medical and clinical applications is high. Today, attempts to assess models' clinical knowledge typically rely on automated evaluations on limited benchmarks. There is no standard to evaluate model predictions and reasoning across a breadth of tasks. To address this, we present MultiMedQA, a benchmark combining six existing open question answering datasets spanni…

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