The preoperative risk assessment algorithm can identify ovarian lesions with a strong likelihood of being non-cancerous and suitable for ovary-preserving surgery. The use of a consensus-based ...

A novel algorithm based on patient-reported outcome questionnaires stratified patients by disease complexity and effectively identified those at a higher risk of having an acute care visit. Gauging ...

New research can transform how hospitals triage, risk-stratify, and counsel patients to save lives. Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) ...

Accurate patient matching across the care continuum is essential for quality and safety. It's also key to driving down healthcare costs by reducing the ordering of duplicative medical tests. But ...

A review article shared the factors that contribute to fatigue in IBD and offered an algorithm for assessment and management.

Researchers have developed a new algorithm that can accurately track a patient's level of consciousness, easing strain on clinicians and enabling new treatments. Visit a neurological ICU during a ...

A machine-learning algorithm can use demographic, symptomatic, and clinical data to accurately predict the health-related quality of life (QoL) of patients with kidney stones, new research shows.

Technology in some ways has made our lives easier and tasks more efficient. But a friend, who also happens to be a physician, reminded me technology is only as good as the way it’s developed and ...