An artificial intelligence system described in a study published in Nature Medicine outperformed human therapists in tests of cognitive behavioral therapy (CBT). According to expert evaluations, as many as 74.3% of AI-led sessions were rated higher than the top 10% of sessions conducted by human therapists.

AI models for healthcare are proliferating, but most never leave the labs. Real-world deployment is far more complicated than any multiple-choice graduate exam – hospitals use different systems, data formats, and security protocols that resist standardization. Kaapana, an open-source platform developed at the German Cancer Research Center, addresses translation barriers by providing standardized infrastructure for medical AI research.

Medical records just became the hottest commodity in Silicon Valley. In a stunning 72-hour span this January, OpenAI and Anthropic launched competing platforms that transform fragmented health data into AI-powered personal health advisors, signaling a digital colonization of America’s healthcare system. While regulators spent a decade mandating interoperability through the 21st Century Cures Act, tech giants are exploiting the resulting data floodgates, deploying sophisticated language models to ingest, analyze, and monetize patient information at unprecedented scale.
Have we traded medical privacy for the convenience of conversational health intelligence?

AI in pharma and life sciences is an easy “sell,” yet delivering real value remains a formidable challenge. Progress is most often hampered by closed data, weak data sharing, and inflated expectations. In this interview with Marcin Wawryszczuk (PhD, MBA) — Head of AI at Andersen and an AI researcher — we discuss how data platforms are becoming the bottleneck, whether it is possible to distinguish a viable project from a mere demo, and why, in production, resilience to drift and explainability of results outweigh impressive metrics.

OpenAI has officially introduced ChatGPT Health — a new feature within the ChatGPT platform that allows users to securely connect personal health and medical data to conversations with AI. The product is designed to help users better understand test results, prepare for medical appointments, and receive more personalized health-related answers, without replacing professional medical care.

Utah has become the first U.S. state to formally allow artificial intelligence to autonomously renew prescriptions without a doctor’s direct involvement. The pilot program, implemented in partnership with Doctronic, is set to cover thousands of patients and will focus on routine renewals for chronic conditions, with specific safety limits in place.