Healthcare + Hospitals

A concise insider’s view on how AI moved from lab idea to clinic-ready tools: diagnostics, imaging, drug discovery, generative health models, and the regulation and trust questions shaping adoption.

A concise playbook for healthcare leaders to prioritize and implement AI across diagnostics, clinical care, public health, and operations.

Explore how AI excels at pattern-based diagnoses like rashes, why human clinicians remain essential for trust and context, and how both can work together.

Explore how AI-powered ‘Uber for nurses’ platforms affect pay, worker rights, patient safety and regulation, with practical guidance for healthcare leaders.

Buckinghamshire Healthcare NHS Trust is rolling out System C ambient voice scribing into CareFlow EPR for outpatient clinics, aligned with NHS England guidance.

GE Healthcare’s new mammography AI aims to improve breast cancer detection, speed radiology reads and reduce unnecessary callbacks. What clinicians should know.

How health leaders can balance rapid AI innovation with adaptive regulation, real-world evaluation, and system-level strategies for safe, equitable care.

A healthcare worker was removed from the register after using AI during a job interview. What happened, how it was detected, and how recruitment must adapt.

How Pfizer, Medtronic, and Insmed are using AI to reshape drug discovery, medical devices, and rare disease therapies. Real-world examples and what comes next.

How Virtua Health used AI and Microsoft Copilot to cut sepsis false positives by 80%, boost heart failure detection, and speed clinician reviews from 30 to 5 minutes.