Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
A tool combining CV risk score (CVRS) and coronary artery calcium score (CACS) facilitates stratification of patients with COPD at risk for MACE.
Please provide your email address to receive an email when new articles are posted on . An AI model correctly identified 22 of 31 adults as having acromegaly strictly based on voice recordings. The ...
The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.
The model had an area under the receiver-operating-curve (AUC) of 0.96, with 82% sensitivity and 90% specificity, reported Gadi Miron, MD, of Charité-Universitätsmedizin Berlin in Germany, at the ...
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