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Researchers developed USDist, a lightweight AI model that accurately diagnoses breast cancer from ultrasound videos and operates on portable devices in resource-limited settings. Background Deploying AI for ultrasound diagnosis is challenging due to computational constraints. This multicenter study evaluated USDist,…
A new explainable AI system combining MRI and tissue pathology predicts breast cancer response to neoadjuvant therapy before treatment begins, enabling personalized treatment strategies. Background Response to neoadjuvant therapy varies significantly among breast cancer patients. Identifying responders before treatment could…
A two-stage deep learning system successfully detects fetal brain abnormalities in routine second-trimester ultrasound with 96% accuracy, offering potential to democratize prenatal screening globally. Background Detecting fetal brain abnormalities early is critical for prenatal planning, yet specialized expertise may be…
A deep learning model reveals biological aging patterns on routine chest X-rays, identifying individuals at significantly elevated risk for premature death—with diagnostic power exceeding traditional risk factors. Background Chronological age is a crude measure of health risk; individuals age biologically…
