A new algorithm aims to assess the likelihood of defendants being treated unfairly in court. The tool considers details that ought to be immaterial to the ruling — such as the judge’s and defendant’s ...

PARIS, France—Using a simple, automated algorithm can reduce wait times for TAVI without increasing rates of morbidity or mortality, according to a new analysis. “For us, this was drawn out of ...

Pretrial risk assessment algorithms are intended to help judges make more informed decisions, but researchers have raised concerns not only about the fairness and accuracy of the tools themselves, but ...

When people participate in studies of aging, they often want to know what their individual risks of developing dementia from Alzheimer's disease are. Washington University researchers have developed ...

The Cleveland Clinic's population health team has found a way to deal with all of the data necessary to target at-risk and vulnerable populations. The team uses algorithms to give them a risk ...

Please provide your email address to receive an email when new articles are posted on . Risk scores and machine learning algorithms were less accurate at predicting stroke for Black adults than for ...

A recent article published in the medRxiv* preprint server illustrated the derivation and validation of the QCOVID4 risk determination algorithm for predicting coronavirus disease 2019 (COVID-19) ...

An asthma risk score using 7 clinically relevant parameters evaluated in a pediatric Medicaid managed care population can stratify risk for following-year asthma hospitalization. Objectives: ...

Among more than 2,300 patients with advanced chronic liver disease, a six-parameter algorithm, known as PLEASE, indicated that patients stratified as high risk had a cumulative risk of developing de ...