News-Medical.Net

New machine learning model improves cholesterol calculation accessibility

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...

AI flags heart failure risk five years early from routine ECG recordings

Researchers at the Technion Faculty of Biomedical Engineering have achieved a breakthrough in the early detection of heart ...
MIT Technology Review

Meet GPT-Red: an LLM super-hacker OpenAI built to make its models safer

OpenAI has built an LLM super-hacker called GPT-Red that it uses as a sparring partner to help its other models boost their ...
Johns Hopkins Medicine

Machine Learning Method Enables Easier and Wider Use of Martin-Hopkins Equation to Accurately Assess LDL Cholesterol Risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...

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, ...
GitHub

guxiao0822/Cardiac-Sensing-FM

CSFM is a large-scale, multi-modal foundation model developed for decoding cardiac sensing biosignals such as ECG and PPG. Trained with self-supervised learning on data from 1.7 million individuals, ...
IEEE

Differential Beat Accuracy for ECG Family Classification Using Machine Learning

Abstract: Holter systems record the electrocardiogram (ECG), which is used to identify beat families according to their origin and severity. Many systems have been proposed using signal conditioning ...
IEEE

ECG Heartbeat Classification Using Multimodal Fusion

Abstract: Electrocardiogram (ECG) is an authoritative source to diagnose and counter critical cardiovascular syndromes such as arrhythmia and myocardial infarction (MI). Current machine learning ...