A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Please provide your email address to receive an email when new articles are posted on . Researchers found 54% of studies had risk for bias due to inadequate population selection. Moreover, 30% of ...

No current models accurately predict time to death in patients with kidney failure. New mortality prediction models should be developed for patients with end-stage kidney disease (ESKD), as current ...

Predictive models are elusive but highly sought after in medicine. They help clinicians and patients make more informed decisions about the diagnostic and therapeutic strategies that one should take ...

Further database analysis is needed to create accurate risk prediction models for surgical morbidity and mortality to aid ...

AI extracted stroke phenotypes from CT and MRI report language and improved stroke mortality prediction when added to EHR ...

USA: Researchers have found in a new study that the Mortality Estimation in Renal Disease (MERD) score, developed using national OPTN data, predicts short-term mortality among adult ...

† For urbanization, AAMR 1999-2020. *P-value <0.05. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text component.

It would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient's condition rapidly deteriorates or shows vitals in highly abnormal ...

A combined FFI may provide better risk stratification for cardiovascular mortality than standalone measures of fitness or ...