FOX 4 News Dallas-Fort Worth

AI may spot deadly heart risk in a routine ECG

UC Berkeley researchers say a new AI model found a hidden ECG signal that could help doctors identify more people at risk ...

AI/ML Innovations Inc. Announces Grant of U.S. Patent Expanding Protection for AI-Driven ECG Analysis

Patent covers machine learning techniques for ECG denoising, rhythm classification, sample-level labelling, wearable cardiac ...
The Lancet

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Machine Learning Framework for Industrial Machine Sound Classification in Predictive Maintenance

Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
IEEE

Exploring Heart Axis Classification on PTB-XL ECG Dataset Through Advanced Machine Learning

Abstract: The aim of this study is to carry out a comparative study of the accuracy performance of the Random Forest and Logistic Regression model in the task of classifying the Heart Axis, which is a ...
Federal Register

Medical Devices; General Hospital and Personal Use Devices; Classification of the Rigid Sterilization Container With Electronic Monitoring

This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.