AI-ECG: A New Market For A Century-Old Test

The 12-lead ECG hasn't changed in a century. The algorithms reading it have. Three CEOs and one educator on whether doctors should trust the model ...
AZoNano

Machine Learning Reveals Hidden Nanophotonic Resonances In Silicon-Gold Nanopillars

Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...

ECG privacy model shields age, sex and race while preserving heart risk signals

It is a common misperception that electrocardiograms (ECGs) simply contain data about heart activity. However, modern ECGs ...
IEEE

Inter-Patient ECG Classification Using Deep Convolutional Neural Networks

Abstract: In this paper we present fully automatic interpatient electrocardiogram (ECG) signal classification method using deep convolutional neural networks (CNN). ECG is simple and non-invasive way ...
IEEE

Design of an Integrated Myocardial Infarction Detection Model Using ECG Connectivity Features and Multivariate Time Series Classification

Abstract: Myocardial infarction (MI), commonly known as a heart attack, results from reduced blood flow to a part of the heart. Timely diagnosis of MI is very crucial due to its high mortality rate, ...
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

Machine learning model improves accuracy of liquid biopsy results

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...
Frontiers

AI & Machine Learning for Injury Prediction: From Data to Preventive Strategies

The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...
News-Medical.Net

Machine learning model filters out the biological noise in liquid biopsy samples

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...
Nature

Gut microbiome signatures discriminate deep vein thrombosis through machine learning and metabolic analysis

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Frontiers

Machine Learning in Predicting Surgical Outcomes in Neurosurgery

Machine learning has emerged as a transformative force in the field of neurosurgery, offering innovative tools to predict surgical outcomes with greater ...