AI copilots are changing how doctors work. A study showed these tools cut the time needed to review complex patient cases by 40%, helping reduce stress for healthcare teams. This is important because 81% of hospitals struggle to access patient data quickly. Companies like Phyx Primary Care and Navina are leading these efforts.

In the UK, a breakthrough AI model trained on 800 stroke patient scans can now pinpoint when a stroke started. Dr. Paul Bentley explains this helps doctors use time-sensitive treatments correctly: “If we know it’s been under 4.5 hours, we can use medicines… after 6 hours, it gets tricky”. The AI is twice as accurate as human experts.

The same country’s health system is testing AI fracture detection. The National Institute for Health and Care Excellence says this technology is safe and could reduce missed breaks by up to 10%. However, Dr. Caroline Green warns staff need proper training to avoid mistakes from AI errors.

Google announced six health AI upgrades at its Check Up event. Their improved search tools now handle longer medical questions better, while new APIs let apps securely share medical records. This could help people worldwide manage health info.

For hospitals, 2025 brings tools like retrieval-augmented generation (RAG) that combine old databases with AI chatbots. This helps staff get answers faster from hospital records. Groups like the Coalition for Health AI are creating rules to test if these models work as advertised.

Experts predict measured AI adoption this year. Greg Samios of Wolters Kluwer says companies are moving past the ‘flashy demo’ phase to show real value in daily hospital work. Dr. Ronald Rodriguez adds that AI will let doctors “make quicker decisions and talk to patients more directly”.