Clinical Diagnostics

Leeds Teaching Hospitals secures £1.5m from NIHR to deploy AI-enabled handheld cardiac ultrasound and imaging algorithms, speeding heart failure diagnosis and strengthening UK life sciences.

How AI is reshaping medical diagnostics — from imaging and genomics to clinical decision support. Practical benefits, risks, and what to expect next.

Discover how AI diagnostics and machine learning turn complex data into automated insights, predictive forecasts, and faster, more proactive decisions across industries.

How AI and advanced technologies transform diagnostics for early detection, precision medicine, and longer healthy lives through human-AI collaboration.

A concise, realistic overview of AI in neuroradiology: diagnostic gains, automation bias, workflow friction, and practical steps for effective human-AI collaboration.

New AI models analyze preoperative CT to detect peritoneal and small bowel dissemination in epithelial ovarian cancer with over 80% accuracy, informing surgical planning.

How AI is changing medical diagnostics: real examples, clinical benefits for patients and clinicians, and the near-term outlook for adoption and safety.

NHS RSET real-world evaluation of AI in chest X-rays: faster prioritisation, positive staff and patient views, cost-effectiveness, but implementation and data gaps.

Google’s AMIE study shows conversational diagnostic AI gathers histories, matches clinician-level top diagnoses, raises patient trust, and operates safely with physician oversight.

PanMETAI combines AI and NMR metabolomics via liquid biopsy to detect pancreatic cancer earlier. Cross-ethnic validation in Taiwan and Lithuania shows strong diagnostic promise.