This week saw major advances in AI-driven healthcare, with countries and companies pushing new technologies to improve care. Over 64% of healthcare organizations now expect more revenue from value-based care models in 2025, partly due to AI tools that help track patient outcomes. In the U.S., 53% of providers reported success using AI for clinical documentation, reducing paperwork for doctors.

China unveiled a nationwide plan called "AI + H2H" (Hospital-to-Home), which uses AI to manage chronic diseases and guide drug development. Meanwhile, a Danish study found that while chatbots like ChatGPT save time on tasks, they require extra staff oversight, limiting short-term gains.

Hospitals are adopting AI to cut wait times. Philips' report revealed 33% of patients worldwide saw health worsen due to long waits, with Spain and Canada facing 4-month delays for specialists. AI tools now help prioritize urgent cases, like cardiac patients in the U.S. and Europe.

Trust remains a challenge. Only 1 in 4 patients fully trust AI in healthcare, but projects like MyoStep Soft Exoskeleton (a robotic suit for kids with cerebral palsy) show how AI can adapt to individual needs. Leaders like Dr. Chris Mansi of Viz.ai are expanding AI platforms to over 1,700 hospitals to speed up diagnoses.