Dandelion has developed this program under a patient privacy-first, open access model, to make it accessible to as many algorithm developers as possible at no cost.

New machine algorithm could identify cardiovascular risk at the click of a button Date: April 29, 2025 Source: Edith Cowan University Summary: An automated machine learning program has been able ...

A new study reveals significant racial bias in a software program that affects access to care for millions of Americans.

A remote care program that utilizes phone calls, text messaging and electronic health records improved BP and LDL levels in high-risk and underserved patients, while reducing the need for in ...

DALLAS, Nov. 17, 2020 — Using a remotely-delivered, algorithm-driven program for disease management, patients experienced significant improvement in cholesterol and blood pressure levels ...

The algorithm would never know what page you were on, and during a mound visit, you could just tell your pitcher to start on a new page. “The pages code definitely stretches what Excel or a ...

"Algorithm-driven digital program helped lower patients' cholesterol, blood pressure." ScienceDaily. ScienceDaily, 17 November 2020. <www.sciencedaily.com / releases / 2020 / 11 / 201117144537.htm>.

An algorithm used to inform healthcare decisions for millions of people shows significant racial bias in its predictions of the health risks of black patients.

Researchers have found that a common algorithm used by hospitals often classified white patients overall as being more ill than black patients — even when they were just as sick.

U of Texas at Austin has stopped using a machine-learning system to evaluate applicants for its Ph.D. in computer science. Critics say the system exacerbates existing inequality in the field.

Critics worry the program is prone to unfairly separate poor and minority children from parents. When a 4-year-old girl drowned in her swimming pool near Pittsburgh on an August day in 2019, the ...

A new automated computer algorithm for the diagnosis of epilepsy from electroencephalogram (EEG) readings ― developed by analyzing multiple expert opinions on thousands of such readings ― has ...