MobiHealthNews

AccurKardia receives patent for AI-ECG cardiac amyloidosis detection

The company says its machine learning approach could help flag cardiac amyloidosis from standard 12-lead ECGs, though experts ...

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 ...

Stretchable AI skin patch analyzes heart data on the body in milliseconds

A skin-like computing patch could give wearable health devices something they have long lacked, instant judgment. By running AI directly on the body in milliseconds, the stretchable system sidesteps ...
IEEE

Real-Time ABR Signal Classification Using Machine Learning Techniques: A LabVIEW-Based Implementation

Abstract: Auditory Brainstem Response (ABR) testing is a cornerstone of auditory and neurological diagnostics, providing objective evaluation of auditory pathways. Despite its widespread clinical use, ...

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 ...
News-Medical.Net

Revolutionizing calibration: How Lumo uses machine learning to streamline E&L screening and toxicological risk assessment

Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.
Kennesaw State University

Student research uses machine learning to improve heart disease diagnosis

Kennesaw State University student Josiah Ware is helping turn CT scans into digital models of the human heart, research that could one day help doctors detect problems faster and personalize treatment ...
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 ...

HeartSciences Launches MyoVista Insights™ Version 1.3 with AI-ECG Algorithm Marketplace and First FDA-Cleared Algorithm

HeartSciences Inc. (Nasdaq: HSCS; HSCSW) (“HeartSciences” or the “Company”), a healthcare information technology (“HIT) ...
IEEE

Detection of Different Stages of Anxiety From Single-Channel Wearable ECG Sensor Signal Using Fourier–Bessel Domain Adaptive Wavelet Transform

Abstract: In this letter, the Fourier–Bessel domain adaptive wavelet transform (FBDAWT) is proposed for the automated detection of anxiety stages using the single-channel wearable electrocardiogram ...
Neurology Advisor

Multimodal Deep Learning Model Improves CT-Based Alzheimer Disease Classification

A multimodal deep learning framework trained on paired CT and MRI data demonstrated improved diagnostic accuracy when classifying patients with Alzheimer disease, mild cognitive impairment, or normal ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...