A study of a new AI model examining 30 years of routine electronic health records (EHR) data could improve screening for primary aldosteronism, a leading cause of high blood pressure that is often unrecognized but increases ...
Jun 13, 2026
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Monitoring and treating heart failure (HF) is a challenging condition at any age. Several models, such as Atrial fibrillation, Hemoglobin, Elderly, Abnormal renal parameters, Diabetes mellitus (AHEAD), and BIOlogy Study to ...
Feb 21, 2026
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A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly influencing a child's development and long-term outcomes, yet most electronic health record (EHR) ...
Jan 29, 2026
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Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.
Dec 9, 2025
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Artificial intelligence can determine the course and severity of aggressive skin cancers, such as Merkel cell carcinoma (MCC), to enhance clinical decision making by generating personalized predictions of treatment-specific ...
Jan 8, 2025
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Risk calculators are used to evaluate disease risk for millions of patients, making their accuracy crucial. But when national models are adapted for local populations, they often deteriorate, losing accuracy and interpretability.
Sep 18, 2024
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Coronary artery disease (CAD) is the most common cause of illness-based death throughout the world. According to the World Health Organization, CAD causes 17.9 million deaths per year worldwide, nearly one-third of all illness-based ...
Balance can be impacted by various factors, including diseases such as Parkinson's disease, acute and chronic injuries to the nervous system, and the natural aging process. Accurately assessing balance in patients is important ...
Jun 26, 2024
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Generative artificial intelligence (AI), such as GPT-4, can help predict whether an emergency room patient needs to be admitted to the hospital even with only minimal training on a limited number of records, according to ...
May 21, 2024
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A study aiming to predict oral cancer-related mortality among adults in the United States and identify the predictors of oral cancer-related mortality using the Machine Learning Approach. was presented at the 102nd General ...
Mar 19, 2024
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