Subvolts take AI is transforming healthcare, from diagnostics to personalized treatment and global access. May 8, 2025 - Business
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This is a solid interview with a senior Google DeepMind researcher about AI's practical applications in healthcare.
AI and the Future of Health with Joelle Barral
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Google DeepMind's Joelle Barral joins Hannah Fry on "Google DeepMind: The Podcast" to discuss AI's role in healthcare. They explore current AI applications like diabetic retinopathy detection and how multimodal models enhance diagnostics. The conversation covers AI's potential to improve healthcare delivery, personalize treatments, increase global access, and restore joy to medical practice.
This podcast episode talks about how computers are learning to help doctors. AI can look at medical images to find diseases and help create treatments just for you. This could make healthcare better for everyone, everywhere.
This episode offers insight into how Google DeepMind is applying AI to real-world health challenges. Listeners will learn about specific AI tools in diagnostics and the future potential for personalized medicine and broader access. It's for anyone interested in AI's impact on healthcare, from medical professionals to tech enthusiasts. This directly reflects Google DeepMind's current focus on developing advanced AI for societal benefit, particularly in critical sectors like health.
- HostHannah Fry
- GuestJoelle BarralSenior Director of Research, Google DeepMind
- Guest: Joelle Barral, Senior Director of Research at Google DeepMind
- Show: Google DeepMind: The Podcast
- Length: 37 minutes
- AI Applications Mentioned: Image analysis for diabetic retinopathy, expansion of diagnostic tools via multimodal models
- Further Reading: Med-Gemini, AMIE
In this episode, Professor Hannah Fry interviews Joelle Barral, Senior Director of Research at Google DeepMind, about AI in healthcare. They discuss existing AI applications including image analysis for diabetic retinopathy and the expansion of diagnostic tools as a result of multi-modal models. The conversation highlights AI's potential to improve healthcare delivery, personalize treatment, expand access worldwide, and ultimately, bring back the joy of practicing medicine.
Further reading:
Thanks to everyone who made this possible, including but not limited to:
- Presenter: Professor Hannah Fry
- Series Producer: Dan Hardoon
- Editor: Rami Tzabar
- Commissioner & Producer: Emma Yousif
- Music: Eleni Shaw
- Audio Engineer: Richard Courtice
- Production Manager: Dan Lazard
- Video Studio Production: Nicholas Duke Video
- Director: Bernardo Resende
- Video Editor: Bilal Merhi
- Audio Engineer: Perry Rogantin
- Camera and Lighting Operator: Robert Messere
- Production Coordination: Zoey Roberts, Sarah Ellen Morton
- Visual Identity and Design: Rob Ashley
- Commissioned by Google DeepMind
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- diabetic retinopathy
- Joelle Barral
- a vision problem caused by diabetes
- multimodal models
- Joelle Barral
- AI that can understand and combine different types of information, like text and images
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Questions people ask
- What are some current AI uses in healthcare discussed?
- The episode mentions AI for image analysis, specifically for diabetic retinopathy, and the expansion of diagnostic tools using multimodal models.
- What is the future potential of AI in medicine?
- AI could improve healthcare delivery, personalize treatments, expand access worldwide, and enhance the practice of medicine.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Hannah Fry.