Healthcare + Hospitals

The Royal College of Physicians sets out what the NHS needs to adopt AI safely: digital standards, a central approval bank, clinician-led regulation, and workforce training.

Multimodal AI is improving early cancer detection, drug discovery, and clinical workflows. A concise update on benefits, risks, and next steps for clinicians.

A concise overview of why healthcare AI needs regulation, the gaps in current oversight, and collaborative models like assurance labs to promote fair, safe adoption.

A pragmatic guide to responsible AI in healthcare: weighing bias and accuracy against the risks of inaction, with practical steps and Clalit’s OPTICA as a model.

OpenAI’s ChatGPT Health links medical records and wellness apps in a private, physician-validated space. What it means for patient agency, privacy, and clinical practice.

A concise overview of how AI is transforming medical diagnostics — from imaging and pathology to predictive analytics — improving patient outcomes and clinical workflows.

How AI scribes cut documentation time, what consent and data safeguards providers must follow, why clinician review of AI notes matters, and practical steps for safe adoption.

Major tech companies are shifting from simple health apps to AI-driven, personalized health ecosystems. Learn how platforms like Ant Afu and Baidu Health aim to become everyday health companions.

A concise update on how AI is improving diagnostic accuracy, speeding workflows in radiology and pathology, and what clinicians should watch next.

For AI founders and health system leaders: how to prove economic ROI for AI tools, reduce clinician burden, and win procurement approval.