AI could move from treating disease to predicting and preventing it, but only if a persistent gap between technical capability and patient benefit is closed, according to a recent Frontiers in Science lead article .
Hear from the authors of the article, Dr Hutan Ashrafian and Dr Ahmad Guni , as they map medical AI’s expanding capabilities, from AI-driven molecular biology to multimodal tools for diagnosis and treatment, at a Frontiers in Science Deep Dive webinar on 4 November 2026 , 15:00–16:30 CET .
In their article, the researchers classify medical AI’s functions into six domains and define a spectrum of independence, ranging from advisory support to increasingly autonomous navigator roles. At the virtual event, they will discuss the technical and health-system advances needed to translate these capabilities into improved health outcomes.
Join the authors and fellow expert, Dr Ricardo Baptista-Leite (HealthAI – The Global Agency for Responsible AI in Health, Switzerland), as they explore the safeguards needed for responsible, sustainable, and equitable adoption, including how increasingly capable AI can be introduced while maintaining appropriate human oversight.
Large language medicine: defining a new paradigm in human health | 4 November 2026 | Register
Frontiers in Science Deep Dive sessions bring researchers, policy experts, and innovators together from around the world to discuss a specific area of transformational science published in Frontiers' flagship, multidisciplinary journal, Frontiers in Science, and explore next steps for the field.