AI model detects prediabetes using ECG data without need for blood tests

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
IEEE

A Fast and Memory-Efficient CNN Accelerator for ECG Classification in Remote Healthcare Systems

Abstract: Electrocardiogram (ECG) classification is crucial for addressing cardiovascular challenges in remote healthcare systems. Recent advances in artificial intelligence, particularly ...
techxplore

No-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...
IEEE

Stress Classification from ECG Signals Using Vision Transformer

Abstract: Vision Transformers have shown tremendous success in numerous computer vision applications; however, they have not been exploited for stress assessment using physiological signals such as ...