
NHS misallocates AI while radiologists burn out
Healthcare systems are deploying artificial intelligence in the scan room while ignoring the administrative paperwork that is actually crushing their staff.
Discover the newest research about AI innovations in π Digital Health Education.

Healthcare systems are deploying artificial intelligence in the scan room while ignoring the administrative paperwork that is actually crushing their staff.

The federal government is trying to force seven decades of incompatible medical research into a single format that artificial intelligence can actually understand.

Clinicians are being forced into a dangerous double-bind as health systems deploy artificial intelligence faster than courts can assign blame.

A year into a massive push to digitize healthcare administration, the tension between voluntary industry promises and hard regulatory mandates is reaching a tipping point.

A new benchmark reveals that how we format electronic health records for large language models completely alters their clinical accuracy.

A new regulatory fast-track aims to end the endless cycle of localized pilot programs that keep medical technology from reaching patients.

Regulators are quietly raising the evidentiary bar for artificial intelligence in medicine, forcing developers to prove clinical value before they can get paid.

Clinical calculators dictate life-or-death medical decisions every day, but doctors have had no objective way to know which algorithms are actually safe to trust.

Medical AI models that ace static exams fall apart when an automated adversary starts asking hard questions.

A massive cash injection for Canada’s clinical data platform exposes the deep friction between sovereign AI ambitions and fragmented provincial healthcare systems.