New physics-based machine-learning method speeds search for 2D quantum materials

Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...
Open Heart

AI-enhanced electrocardiography as a digital biomarker platform in cardiovascular medicine: clinical applications, validation gaps and future implementation pathways

Artificial intelligence applied to the ECG is expanding the clinical role of this widely available diagnostic tool beyond ...
TCTMD

AI-ECG Models Detect Structural Heart Disease, Identify At-Risk Patients

The tools may help address underdiagnosis in this area, though there is still room for improvement in screening performance.

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 monitoring, and report generation TORONTO, ON / ACCESS Newswire / June 23, ...
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 ...
IEEE

Interpretable Deep Learning Framework for Real-Time ECG Classification and Diagnosis

Abstract: Automatic arrhythmia detection requires effective and clear models because cardiovascular disease is increasingly common. Convolutional neural networks (CNNs) have proven to be the most ...
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 ...