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.

Hospitalized patients with complex dietary restrictions often develop hyperglycemia, or high blood sugar. This occurs in roughly one-quarter to one-half of these patients and can lead to serious ...

The nation’s largest health insurance company pressured its medical staff to cut off payments for seriously ill patients in lockstep with a computer algorithm’s calculations, denying rehabilitation ...

Please provide your email address to receive an email when new articles are posted on . Device-based therapy may be necessary for certain patients with NYHA class II/III heart failure with reduced ...

Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, ...

Westport, CT, Feb. 06, 2024 (GLOBE NEWSWIRE) -- BioSig Technologies, Inc. (BSGM) (NASDAQ: BSGM) (“BioSig” or the “Company”), a medical technology company committed to delivering unprecedented accuracy ...

The novel findings from a 12-year review uncovered these algorithms can both exacerbate and mitigate racial and ethnic disparities in health care. As algorithms wield increasing influence in health ...

Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.