New Deep Learning Model Lays The Foundation For Specialized Diagnostic Models

Mount Sinai researchers have developed an AI model for ECG analysis that interprets ECGs as language, allowing for more accurate and effective diagnoses. The new deep learning model, HeartBEiT, outperformed established methods for ECG analysis and can create specialized diagnostic models with a tenth of the data. AI is revolutionizing the science of ECG analysis, with most of the work to date centered on convolutional neural networks.