
Finding Chronic Lung Disease in Existing Data
Reusing existing patient data can catch chronic lung disease long before patients end up in the emergency room.
Discover the newest research about AI innovations in 🌍 Public Health.

Reusing existing patient data can catch chronic lung disease long before patients end up in the emergency room.

A major northern city council has formally opposed the NHS Federated Data Platform, signaling a deepening local mutiny against central healthcare technology decisions.

A new study reveals that commercial medical chatbots may be designed to funnel worried patients into paid clinical pipelines rather than just assessing their health.

By ditching hand-curated clinical profiles for raw administrative codes, researchers built an AI that predicts long-term mortality better than traditional medical indices.

Australia’s state of Victoria is drawing a hard line on clinical AI, forcing health systems to choose between rapid automation and strict data sovereignty.

A new algorithm catches every high-risk pregnancy case in Tanzania, but its high false-alarm rate will test the limits of busy clinics.

A massive new philanthropic partnership signals that the battle for AI dominance is moving from Silicon Valley boardrooms to the developing world.

TEC data is reshaping adult social care, enhancing decision-making and prevention strategies. Councils must prioritize workforce training for effective implementation. 📊👥

NHS digital investment faces challenges due to delivery issues, not ambition. Effective collaboration and support are essential for success. 📊💻

Digital health access disparities among dementia caregivers: 60.25% lack online record access. Geographic and sociodemographic factors play crucial roles. 📊💻