The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.
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 ...
This model was trained and tested on a 70%/30% split (train/test result cohort), achieving an area under the receiver operator curve on the test set of 0.866 (95% CI, 0.857 to 0.875). Assigning a ...
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Disrupted brainstem-parahippocampal connectivity identified as a biomarker for delirium
Background and objectives Delirium, commonly observed in critically ill patients following intracerebral hemorrhage (ICH), is ...
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