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A recent study shows that an AI system can detect interval breast cancers missed by radiologists on mammograms, potentially improving early diagnosis and screening outcomes in women with dense breasts.
AI-based quantitative CT analysis demonstrates that coronary plaque features, while more prevalent in men, confer a disproportionately higher relative risk of major adverse cardiovascular events in women, highlighting the need for sex-speci
The NUDGE-CKD trial found that electronic letter-based nudges to patients with chronic kidney disease and their general practitioners did not significantly improve initiation of guideline-recommended medications over usual care.
A prospective study shows that machine learning models trained on 12-lead ECG features outperform HEART score in predicting mortality among chest pain patients, improving risk-based care precision.
California’s AB 489 may reshape AI in healthcare, emphasizing authorized interactions and compliance for AI developers.
Oracle Health unveils a next-generation AI-powered, voice-first electronic health record (EHR) system designed from the ground up to improve clinical workflow and challenge Epic’s market dominance in the U.S. acute care sector.
Explore how AI is revolutionizing healthcare by enhancing diagnostics, predicting diseases, and supporting medical professionals in various capacities.
The integration of AI in colonoscopy improves adenoma detection but raises concerns about declining physician skills when AI support is withdrawn, highlighting a potential clinical ‘de-skilling’ effect.
Linea integrates generative AI and high-touch virtual nursing to proactively manage heart failure patients, achieving a 50% reduction in hospital readmissions within 90 days, substantially lowering costs and improving patient outcomes.
A comprehensive survey of 233 US healthcare systems reveals widespread AI deployment with key barriers including cost and resource limitations; highlights the critical role of CFOs and CIOs in AI decision-making and the growing influence of
An observational study evaluates an AI chatbot’s usability in promoting HIV testing among men who have sex with men in Malaysia, showcasing potential improvements for public health interventions.
This study explores the integration of line-field confocal optical coherence tomography (LC-OCT) with artificial intelligence (AI) to enhance wound healing evaluations, providing deeper insights into clinical interventions.
A 60-year-old man developed bromide toxicity after replacing dietary NaCl with NaBr based on ChatGPT guidance; the case highlights laboratory interference, diagnostic pitfalls, clinical management, and risks of decontextualized AI health ad
A multisite RCT of a 12‑module smartphone CBT intervention for psychiatric inpatients did not change time to first suicide attempt overall, but sustained reductions in suicidal ideation and reduced recurrent attempts among patients with pri
A single-blind RCT shows that integrating ChatGPT into nursing education significantly improves students’ problem-solving skills, AI attitudes, nursing process competency, and satisfaction compared to standard training.
A machine learning model using nationwide registry data accurately predicts long-term remission in refractory ulcerative colitis and identifies key prognostic factors such as pseudopolyps.
A proof-of-concept study demonstrates that AI-based image recognition, using the ResNet-18 algorithm, can accurately identify clinically important Aspergillus species, offering a rapid, cost-effective alternative to traditional methods.
An AI-based model for assessing ankylosing spondylitis severity using spinal X-rays and mSASSS demonstrates high accuracy, offering clinicians a rapid, reliable tool and reducing human resource demands.
AI-CAC enables automated, accurate coronary artery calcium scoring from routine chest CTs, offering scalable, opportunistic cardiovascular risk stratification across diverse populations.
AI analysis of smile videos demonstrates high accuracy in detecting Parkinson’s disease, offering a scalable and accessible screening solution with strong generalizability across populations.
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