Healthcare + Hospitals

Practical, structural steps medical programs can adopt to prevent ‘never-skilling’ from AI tools and preserve trainee clinical judgment.

California lawmakers are weighing restrictions on AI therapy tools amid safety, privacy, and efficacy concerns, even as millions seek chatbot mental health support.

A concise guide for healthcare AI teams on the EU AI Act, high-risk classification, compliance steps, and how to prepare for market access in Europe.

A concise overview of how AI is reshaping diagnosis, personalized treatment, drug discovery, hospital operations, and the ethical and regulatory challenges ahead.

Federated learning for diagnostic imaging speeds radiology reads, preserves patient privacy, and supports multi-center model updates. What clinicians and leaders need to know now.

A new multicenter study shows AI tools can improve diagnostic accuracy in imaging and pathology, speeding detection and reducing false reads across clinical workflows.

Healthcare leaders must adapt procurement and supplier assessment for an AI-first world. Learn how AI shortlists, what builds machine trust, and practical next steps.

A recent UK survey finds cautious public and NHS staff support for health technology but clear concerns about AI safety, human oversight and regulation. Practical steps to build trust and guide safe adoption.

AI is cutting diagnostic time by analyzing images and clinical data in real time, supporting earlier treatment and lighter clinician workloads while facing validation and data challenges.

Nurses are being left out of AI development. Learn the risks of exclusion and practical steps for integrating nursing expertise to build safer, adopted AI in healthcare.