The article examines the rapid proliferation of AI tools in healthcare, from diagnostic algorithms to administrative assistants, and questions their real-world effectiveness. It highlights a significant gap between the promise of these technologies and the rigorous, independent validation required for clinical use. Many tools are developed and deployed without sufficient testing on diverse patient populations, raising concerns about accuracy, bias, and safety. The piece calls for more robust regulatory frameworks and transparent evaluation standards to ensure these tools deliver measurable benefits to patients and clinicians. Read the full article at: https://www.technologyreview.com/2026/03/30/1134795/there-are-more-ai-health-tools-than-ever-but-how-well-do-they-work/