Machine Learning

Anumana announced it received FDA 510(k) clearance for its novel artificial intelligence-powered device to detect low left ventricular ejection fraction in patients at risk for HF.

In this Healio video exclusive, the producer of the Heart Rhythm Society’s HRX meeting on digital health advancements discusses the purpose of and highlights from the meeting.

A machine learning-based model ranking patient characteristics available in the electronic health record by their correlation with ankle-brachial index identified those at high risk for peripheral artery disease.

A fully automated, machine learning model that predicts bone marrow edema in sacroiliac joint MRI could improve screening for spondyloarthritis and decrease diagnostic delay, according to data published in Arthritis & Rheumatology.

PHILADELPHIA — A machine learning model was better able to predict preclinical Alzheimer’s disease from participant biomarkers as well as driving data from a year-long study, according to a speaker.

Patients with moderate to severe aortic stenosis had similar outcomes to patients with severe aortic stenosis, whereas those with moderate aortic stenosis were comparable to those with mild aortic stenosis, researchers reported.

A machine-learning model developed by researchers at Sonic Healthcare USA accurately predicted the progression of chronic kidney disease using readily available laboratory data.

INDIANAPOLIS — Machine learning models predict the likelihood of type 1 narcolepsy with a high degree of accuracy, opening the door to increased access to testing and care, according to a speaker at SLEEP 2023.

Machine learning may be an effective tool for screening individuals who develop REM sleep behavior disorder and subsequent neurodegenerative conditions, Yoav N. Nygate, said in this Healio video.

A new machine-learning tool accurately predicted incident esophageal and gastric cardia adenocarcinoma using electronic health record data, according to a report published in Gastroenterology.