AI eye screening cuts diabetic blindness disparities
Moving diagnostic tools directly into primary care clinics can bypass the systemic barriers that historically leave minority patients underserved.
June 21, 2026
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Discover the newest research about AI innovations in 👤 Personalized Medicine.
AI Survival Models Fail to Beat 1995 Formula
A new reanalysis reveals that highly praised machine learning survival models underperform both human doctors and a thirty-year-old statistical formula at predicting patient death at critical clinical milestones.
June 17, 2026
AI predicts survival times for rare brain disease
A new machine learning model predicts individual survival times for multiple system atrophy, forcing clinicians to rethink how they deliver terminal prognoses.
June 17, 2026
AI Takes Control of ICU Oxygen Therapy
A massive clinical trial is putting machine learning in charge of life-or-death oxygen decisions for twenty-four thousand critically ill patients.
June 16, 2026
AI and qPCR Detect Early Colorectal Cancer
By ditching expensive gene sequencing for a simpler neural network and qPCR setup, researchers may have found a way to make early cancer screening practical for local clinics.
June 15, 2026
ClinVec maps clinical codes to improve medical AI
By translating messy medical jargon into mathematical vectors, a new tool could finally fix how language models understand patient charts.
June 12, 2026
New AI maps overlooked family disease genes
Standard genetic tests miss the complex networks of DNA variants that cause multiple diseases in the same family, but a new topological AI approach could change how we find them.
June 10, 2026
Comparative oncology of male and female breast cancer: diagnostic paradigms and machine learning approaches in treatment.
Gender-specific breast cancer insights: men face later diagnoses, larger tumors, and unique treatment challenges. 🤔💔
May 11, 2026
Enterocutaneous Fistula-Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model.
AI predicts enterocutaneous fistula sepsis with 89% accuracy, integrating clinical, imaging, and transcriptomic data. 📊🤖
May 1, 2026
Artificial intelligence-enabled coronary plaque quantification for personalized risk assessment and lipid-lowering therapy: Insights from the FISH&CHIPS study✰.
AI-Driven Coronary Plaque Analysis: 19.1% Risk Reduction in CAD with Targeted LDL-C Therapy 📉💔
April 21, 2026