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Detection of Cognitive Impairment From eSAGE Metadata Using Machine Learning.
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Machine Learning for the Prediction of Depression Progression from Inflammation Markers.
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Development and validation of a machine learning-based fall-related injury risk prediction model using nationwide claims database in Korean community-dwelling older population.
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Modeling the influence of attitudes, trust, and beliefs on endoscopists' acceptance of artificial intelligence applications in medical practice.
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Considering the Secondary Use of Clinical and Educational Data to Facilitate the Development of Artificial Intelligence Models.
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Application of machine learning algorithms to construct and validate a prediction model for coronary heart disease risk in patients with periodontitis: a population-based study.
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Opportunistic Screening for Asymptomatic Left Ventricular Dysfunction Using Electrocardiographic Artificial Intelligence: A Cost-Effective Approach.
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Automatic Detection of Chronic Insomnia from Polysomnographic and Clinical Variables Using Machine Learning.
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Risk-prediction model for incident hypertension in patients with obstructive sleep apnea based on SpO2 signals.
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Classification of patients with cardiac amyloidosis using machine learning models on Italian electronic clinical health records.
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Identification and risk stratification of coronary disease by artificial intelligence-enabled ECG.
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Distinguishing infectivity in patients with pulmonary tuberculosis using deep learning.
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