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

Multimodal Deep Learning for ECG Heartbeat Classification with SHAP-Based Interpretability

Abstract: Electrocardiogram (ECG) signals serve as a critical non-invasive diagnostic tool, providing valuable insights into the electrical activity of the heart and are widely used in diagnosing ...
IEEE

Multilingual and Multi-Class Sentiment Classification Using Machine Learning, BERT, and GPT-4o-mini

Abstract: In this study, we investigate multilingual and multiclass sentiment classification by analyzing datasets in Turkish, English, and Italian. The proposed approach consists of three main stages ...
Technology Networks

AI-Powered ECG Analysis Could Facilitate Earlier COPD Diagnosis

Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...