Cell | The generative era of medical AI

The generative era of medical AI

  L. John Fahrner, Emma Chen, Eric Topol, et al.
Cell, Volume 188, Issue 14, 3648 - 3660 
DOI: 10.1016/j.cell.2025.05.018

Summary

Rapid advancements in artificial intelligence (AI), particularly large language models (LLMs) and multimodal AI, are transforming medicine through enhancements in diagnostics, patient interaction, and medical forecasting. LLMs enable conversational interfaces, simplify medical reports, and assist clinicians with decision making. Multimodal AI integrates diverse data like images and genetic data for superior performance in pathology and medical screening. AI-driven tools promise proactive, personalized healthcare through continuous monitoring and multiscale forecasting. However, challenges like bias, privacy, regulatory hurdles, and integration into healthcare systems must be addressed for widespread clinical adoption.