FDA Clears Mobile App for Contactless Pulse Rate Measurement
The app uses an iPhone or iPad camera to measure pulse rate in 30 seconds.
The app uses an iPhone or iPad camera to measure pulse rate in 30 seconds.
The software is designed to detect potential cases of AVS by analyzing existing ECGs in healthcare systems, enabling earlier identification of at-risk patients who may benefit from echocardiograms for a definitive diagnosis.
A study evaluated AI-generated explanations of echocardiogram results, finding that 73% were accurate, relevant, and understandable enough to be sent to patients without any modifications.
Read MoreThe score paves the way for diagnosing more patients with unexplained shortness of breath, according to researchers.
Read MoreResearchers have developed an AI-powered tool that significantly reduces the time needed to analyze heart MRI scans, potentially enhancing patient care and resource efficiency.
Read MoreA new study finds that generative AI can rapidly and accurately screen patients for clinical trial eligibility based on their medical records.
Read MoreResearchers at Mount Sinai used artificial intelligence to identify 17 genes with rare coding variants that help explain the molecular basis of coronary artery disease.
Read MoreEko Health has secured $41 million to enhance the accessibility of its AI-based early detection platform for heart and lung diseases.
Read MoreDeveloped by Cedars-Sinai and the Smidt Heart Institute, the EchoCLIP algorithm uses a large dataset to potentially enhance the accuracy of echocardiogram interpretations.
Read MoreThe AI-enhanced digital stethoscope enables healthcare providers to detect low ejection fraction, a key indicator of heart failure, within 15 seconds during a standard physical exam.
Read MoreThe AI module enables fully automated segmentation of CT images in the creation of 3D cardiac models, allowing inHEART to deliver its solution to physicians with greater speed and efficiency.
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