A significant 76% of multiresident households with prediabetes patients have additional members with diabetes risk factors, emphasizing familial risk. EHR data can identify at-risk households, ...
Joy Metrics (formerly SE Healthcare) enters agreement to advance predictive workforce intelligence for clinician fatigue risk ...
Please provide your email address to receive an email when new articles are posted on . MySTIRisk, an AI-based tool, successfully estimated infection risk scores for HIV, syphilis, gonorrhea and ...
Please provide your email address to receive an email when new articles are posted on . Patients with an eGFR below the 25th percentile of distribution for their age and sex had greater risks for ...
A stroke can strike anyone, anywhere, at any time, but certain individuals are at higher risk. Recognizing the signs and symptoms is crucial for swift intervention and minimizing long-term damage.
Major paradigm shift incorporates five-year risk assessment and identifies increased-risk women beginning at age 35 ...
An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing. An ...
Swedish researchers have used AI to spot high-risk melanoma patients before they develop the disease, using health data from ...
A recent European Urology Oncology study assessed the mortality risks, based on the Gleason score and clinical parameters, in patients with prostate cancer (PC). Study: Mortality Risk for Patients ...
A new analysis of the Breast Cancer Index (BCI) may help identify women with HR-positive breast cancer who could potentially benefit from shorter or less-intensive treatment. Marie-France Jilderda, MD ...
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