A multicenter study in Spain developed a new predictive model for surgical risk in patients with cirrhosis that may improve ...
Please provide your email address to receive an email when new articles are posted on . The Insall-Salvati ratio, tibial tubercle-trochlear groove distance and trochlear depth had the greatest ...
Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience Current image-based long-term risk prediction models do not fully use previous ...
The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management ...
Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortality by detecting the disease at earlier, more treatable stages. However, high false-positive rates and the ...
A machine learning model for prediction of preeclampsia risk using routinely collected data was feasible among pregnancies in ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
A newly developed risk-prediction tool for invasive melanoma demonstrated enhanced accuracy, identifying 74% of future cases by screening the top 40% of the predicted risk population. Researchers ...
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