AI Detects Hypertension in Health Records
This is a news story, published by ScienceDaily, that relates primarily to Jason H. Wasfy news.
Jason H. Wasfy news
For more Jason H. Wasfy news, you can click here:
more Jason H. Wasfy newsdisease research news
For more disease research news, you can click here:
more disease research newsScienceDaily news
For more news from ScienceDaily, you can click here:
more news from ScienceDailyAbout the Otherweb
Otherweb, Inc is a public benefit corporation, dedicated to improving the quality of news people consume. We are non-partisan, junk-free, and ad-free. We use artificial intelligence (AI) to remove junk from your news feed, and allow you to select the best health news, business news, entertainment news, and much more. If you like disease research news, you might also like this article about
new hypertension diagnoses. We are dedicated to bringing you the highest-quality news, junk-free and ad-free, about your favorite topics. Please come every day to read the latest electronic health data news, electronic health records news, disease research news, and other high-quality news about any topic that interests you. We are working hard to create the best news aggregator on the web, and to put you in control of your news feed - whether you choose to read the latest news through our website, our news app, or our daily newsletter - all free!
Preexisting Cardiovascular DataScienceDaily
•Health
Health
Clinical trial unearths hidden hypertension with automated searches of health records
81% Informative
A new study from investigators at Mass General Brigham shows that clues about hypertension may be buried in electronic health records.
Using natural language processing, a form of artificial intelligence, researchers identified patients who had a heart ultrasound indicating thickening of the heart muscle, a condition frequently caused by hypertension.
The results are published in JAMA Cardiology and presented at the 2025 American College of Cardiology's Annual Scientific Session & Expo.
Jason H. Wasfy and Adam N. Berman are the authors of the study.
The study intervention was funded by the Massachusetts General Physicians Organization in support of cardiovascular care delivery innovation.
Authors include Michael K. Hidrue , Curtis Ginder , Linnea Shirkey , Japneet Kwatra , Anna C. O’Kelly , Jennifer M. Searl Como , Danielle Daly , Yee-Ping Sun , William T. Curry , Marcela G. del Carmen , Ron Blankstein , David A. Morrow , Benjamin M. Scirica , Niteesh K. Choudhry , and James L. Januzzi .
VR Score
92
Informative language
99
Neutral language
58
Article tone
formal
Language
English
Language complexity
69
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
no external sources
Source diversity
no sources
Affiliate links
no affiliate links
Small business owner?