Lila Marsland was just five when she passed away(Image: SWNS) The family of a five-year-old girl who died hours after being sent home from hospital despite her mum fearing she had meningitis have received an NHS payout. Lila Marsland…
PHOENIX — Using admission data, a machine learning model detected patients with acute coronary syndrome at high-risk for cardiogenic shock 1.8 hours before the onset of hypotension, according to data presented at the CHEST Annual Meeting. “It is worth emphasizing that the…
egnite's CardioCare® Platform is deploying Pathway Labs' recently cleared ECG algorithm at Stamford Health to more effectively prioritize and coordinate care for echo-ready patients. "This new and exciting algorithm will vastly expand our current AI programs in cardiac imaging and…
Troy L. Randle, DO, joins Jubril Oyeyemi, MD, to discuss how primary care clinicians can evaluate new atrial fibrillation, reduce stroke risk, and when to refer. In this episode, host Jubril Oyeyemi, MD, chief medical officer of the Camden Coalition of…
October 30, 2026 — 5:00am Our eyes are the windows to our soul. They may also be the windows to our heart. Researchers believe routine eye exams may soon be able to detect and predict systemic disease, including the risk of a heart attack…
Slide Presentation: Noninvasive Finger Cuff Screening for Aortic Valve Stenosis Using Artificial Intelligence Submit your research to the journal of the Heart Team.
Using artificial intelligence (AI) to help decide whether to send patients undergoing stress echocardiography to invasive angiography was not noninferior to standard practice in the randomized PROTEUS trial, but researchers say there is still hope that this technology can have…
The argument appears in a perspective article published open access in the journal Cardiovascular Diabetology on 17 October 2026, authored by Nordin M.J. Hanssen, Cheyenne Y.Y. Beverloo, Saloua El Messaoudi, Richard A.P. Takx and Nick S. Nurmohamed. The authors point to practical trends that make the…
Researchers evaluated whether a smartphone camera could estimate two commonly used heart rate variability indices, standard deviation of normal heartbeat time intervals (SDNN) and natural logarithm of the root mean square of successive differences in time intervals between heartbeats (lnRMSSD),…
A machine-learning model using structured multifrequency bioimpedance descriptors identified previously diagnosed diabetes with an AUROC of 0.8336 in a proof-of-concept study.
Heart rate, ECG, SpO₂, HRV, glucose sensors, and adherence tools at home.
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