Screening for a sometimes fatal condition among patients with a rare autoimmune disease could soon - thanks to a computer algorithm - become even more accurate. Researchers at Michigan Medicine found ...

Though it affects only somewhere between 0.1% and 1% of the world’s population, pulmonary hypertension can carry an outsized mortality risk. That’s due to its largely nonspecific symptoms—including ...

Hypertension is one of the most common chronic conditions in the U.S., affecting nearly half of the country’s adults, according to the Centers for Disease Control and Prevention. Unfortunately, ...

Please provide your email address to receive an email when new articles are posted on . At diagnosis, the area under the receiver operating characteristic curve in two test sets was 0.92 and 0.88.

US-based AI company Anumana has revealed results from a study of an algorithm based on electrocardiogram (ECG) designed to recognise signs of pulmonary hypertension (PH) to expedite diagnosis.

Please provide your email address to receive an email when new articles are posted on . Use of the DETECT algorithm was a better screening tool for systemic sclerosis-associated peripheral arterial ...

Title: High sensitivity and negative predictive value of the DETECT algorithm for an early diagnosis of pulmonary arterial hypertension in systemic sclerosis: application in a single center ...

CAMBRIDGE, Mass.--(BUSINESS WIRE)--Anumana, a leading AI-driven health technology company and portfolio company of nference, announced a new study that revealed promising results in support of further ...

CAMBRIDGE, Mass.--(BUSINESS WIRE)--Anumana, Inc., an AI-driven health technology company from nference, Inc., today announced that the U.S. Food & Drug Administration (FDA) has granted Breakthrough ...

The Apple Watch’s new HTNF algorithm now has FDA clearance to issue notifications when it detects patterns suggestive of hypertension Over a 30-day monitoring period, it uses optical sensor data and ...

Every year, new national hypertension guidelines and protocols are released, which tend to complicate the clinician's work, but now the Canadians have demonstrated the efficacy of a step-up algorithm ...

Using data from large clinical trials, UT Southwestern researchers developed a way to predict which patients will benefit most from aggressive high blood pressure treatment. The machine learning ...