Governance gaps in AI healthcare took center stage this week. A study found only 18% of healthcare organizations have policies for tools like AI chatbots, risking patient data leaks and incorrect medical advice. This comes as 46% of groups reported major increases in cyberattacks, with hackers targeting poorly protected AI systems. Security experts warn that rushed AI adoption without proper safeguards could expose sensitive health records.

The global AI healthcare market is booming, projected to grow over fivefold to $110 billion by 2030. Major players like Microsoft and Siemens are expanding through partnerships, like recent AI tools for scanning medical images. Meanwhile, NVIDIA unveiled new chips designed specifically for hospital AI tasks, promising faster analysis of X-rays and MRIs.

In the United States, Colorado passed groundbreaking laws requiring transparency for AI used in medical decisions. Doctors must now tell patients when AI helps diagnose illnesses or recommend treatments. Other states are expected to follow, creating a patchwork of rules that some say could slow national projects.

The FDA announced plans to fast-track approval for AI diagnostic tools, particularly those addressing staff shortages in rural areas. This comes as a clinical trial showed an AI system matching human experts in spotting lung cancer from scans. However, reports revealed some "no-code" AI platforms actually rely on hidden human workers to check results, raising ethical concerns.

AI treatments made strides with new digital tools for Parkinson’s disease patients. These systems analyze movement data from wearables to adjust medication doses instantly, showing better results than fixed schedules in trials. On the research front, older AI models designed for specific tasks outperformed newer chatbots in predicting drug interactions, suggesting hybrid approaches may work best.

Global challenges remain visible. While Europe and North America see rapid AI adoption, developing nations struggle with poor internet access and high costs. A WHO report highlighted that 70% of African hospitals lack the digital infrastructure needed for basic AI tools. Health leaders urge international cooperation to prevent an "AI divide" in care quality worldwide.