Articles related to ARTIFICIAL INTELLIGENCE (AI)

AI-assisted diagnosis of lung cancer showed 87% sensitivity and 87% specificity in a meta-analysis, suggesting potential for improved accuracy in interpreting chest CT scans.

Yale researchers have developed an AI model capable of diagnosing Marfan syndrome from facial photographs with 98.5% accuracy, potentially enabling earlier intervention for this life-threatening genetic disorder.

AI tools such as ChatGPT are increasingly favored by autistic individuals for their direct and concise advice. However, concerns arise over the practicality of some recommendations, highlighting the need for technology development inclusive of autistic perspectives.

An AI tool, DEMIST, improves myocardial perfusion imaging by enhancing detection accuracy while potentially allowing for reduced radiation doses and shorter scan times, promising significant advancements in patient care and diagnostic efficiency.

The ACP emphasizes that AI tools should enhance, not replace, the clinical decision-making of physicians, prioritizing patient safety, privacy, and health equity.

Autonomous AI at the point of care significantly increases diabetic retinopathy screening rates among young patients, addressing access gaps in underserved communities and offering a practical solution to improve patient outcomes.