Machine Learning
AI shows potential for early detection of atrial septal defect
An artificial intelligence-based network successfully identified atrial septal defects from ECGs and holds potential to improve early screening for the congenital anomaly, researchers reported.
Machine learning uses electronic health records to stratify food allergy risks in infants
Using routinely collected data in electronic health records, predictive modeling stratified risks for developing food allergy among infants, according to a study published in Allergy.
Language models are just tools — be careful how you use them
It looks like artificial intelligence is here to stay, and it’s still in its infancy.
FDA grants de novo approval for AI algorithm for detection of hypertrophic cardiomyopathy
Viz.ai announced it has received de novo approval from the FDA for its artificial intelligence module for the early detection hypertrophic cardiomyopathy.
AI shows ‘technical and clinical feasibility’ to detect HFpEF from a TTE video clip
Artificial intelligence demonstrated strong diagnostic performance in the detection of HF with preserved ejection fraction using a single transthoracic echocardiogram video clip, according to data published in JACC: Advances.
Moving the needle on pancreatic disorders: 2023 data show triumphs, middling successes
From pancreatitis complications to the impact of long COVID, FDA updates to gender disparity in pancreatic cancer, Healio has been at the forefront of coverage for pancreatic disorders in 2023. What have you missed this year?
VIDEO: Novel machine learning algorithm may transform risk prediction in ACL revision
WASHINGTON — In this video, Kinjal Vasavada, MD, discusses a novel machine learning algorithm intended to predict surgical outcomes in the Multicenter ACL Revision Study cohort.
In new book, Singh explains how technology can shape future of health care
Healio | Cardiology Today Editorial Board Member Jagmeet P. Singh, MD, DPhil, FACC, FHRS, and some of his patients were profoundly affected by the COVID-19 pandemic. That got him thinking about the sustainability of the health care system.
Chat-based AI models accurately answer AF questions from patients but not physicians
ChatGPT and Bing AI provided mostly accurate responses to patients’ commonly asked questions about atrial fibrillation, but they appear not suitable to aid clinician-level decision-making, researchers reported.
AI algorithm for detection of cardiac amyloidosis gains FDA breakthrough device status
Anumana announced it received FDA breakthrough device designation for its artificial intelligence-guided ECG algorithm for the early identification of cardiac amyloidosis.