Machine Learning Model Identifies Ultrasound-Defined MASLD in Overweight Children
A multicenter retrospective study developed and externally validated a stacking ensemble machine learning model utilizing routine clinical variables to identify ...
A multicenter retrospective study developed and externally validated a stacking ensemble machine learning model utilizing routine clinical variables to identify ...
A six-step radiological chain-of-thought prompting framework significantly improved error detection across seven large language models evaluating 1,200 clinical radiology reports.
A retrospective study from Reims University Hospital demonstrates that deep learning models can predict extra-corporal circuit clotting risk during hemodialysis, ...
A blinded panel of eight multidisciplinary experts judged the primary action acceptable in 338 of 400 synthetic clinical outputs from ...
A single-center study found a large language model exactly matched adjudicated expert severity classifications in 49 percent of 286 hospital ...
When a wound refuses to heal, clinicians often have little more than a ruler and a cotton swab to judge ...
Toronto- August 27, 2024 - JMIR Publications invites submissions to a new theme issue titled “Advancing Digital Health: Real-World Implementation ...
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