Machine learning algorithm shows limited capacity for reducing health spending for radiation therapy outpatients.
1. Natesan and colleagues conducted a post hoc economic analysis of a trial that identified cancer patients at high risk ...
1. Natesan and colleagues conducted a post hoc economic analysis of a trial that identified cancer patients at high risk ...
1. Aklilu and colleagues conducted an artificial intelligence computer vision (CV) model to detect surgical techniques during laparoscopic cholecystectomies. 2. ...
1. Kamran and colleagues used a retrospective inpatient cohort to evaluate the Epic sepsis model (ESM)’s ability to predict sepsis ...
1. Machine learning (ML) models developed by Lehmann and colleagues used driving characteristics and head motion data to detect hypoglycemic ...
1. Patel and colleagues conducted a secondary economic analysis of a trial that assigned high-risk cancer patients to serious illness ...
1. A cross-over study compared clinicians’ electroencephalogram (EEG) interpretation accuracy with artificial intelligence (AI) assistance against the same participants without ...
1. In this retrospective study, the chest X-ray cardiovascular disease (CXR CVD)-risk model performed similarly to the standard atherosclerotic (AS) ...
The Scan by 2 Minute Medicine® is a pop-culture medical newsletter and exclusive benefit for 2 Minute Medicine Plus subscribers. ...
1. A machine learning model was developed for estimating vigilance impairment for high-risk shift work occupations using only data from ...
Cognitive-behavioural therapy improves sleep in patients with mild cognitive impairment 1. In patients with mild cognitive impairment, empowerment-based cognitive behavioural ...
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