An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in response to pathogen exposure.
TCTMD spoke with Lior Jankelson, MD, PhD (NYU Langone Health, New York, NY), an electrophysiologist who leads the AI/machine ...
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management hinges on early diagnosis, which is often impeded by non-specific symptoms and ...
Authors: Monica Kraft, MD, Health System Chair of the Department of Medicine; Girish N. Nadkarni, MD, MPH, CPH, Chief AI Officer and Chair of the Department of Artificial Intelligence and Human Health ...
BACKGROUND: Wide complex tachycardia (WCT) remains one of the most challenging dilemmas in electrocardiogram (ECG) interpretation. Supraventricular tachycardia (SVT) and ventricular tachycardia (VT) ...
Background: AI algorithms for ECG images (AI-ECG) offer scalable screening and diagnosis of cardiac conditions by using images directly. However, the accuracy of predictions is highly dependent on ...
Abstract: Myocardial infarction (MI) can be life-threatening and needs to be detected accurately and quickly. In this article, a branch-reduced network (BRN) is developed to detect and locate acute MI ...
自适应1D卷积神经网络（CNN）设计：提出的1D CNN模型可以用于心电图（ECG）的特征提取和分类，设计中去除了传统的MLP层 ...
Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
A dynamic ECG reporting engine that supports clinical workflows with customizable components and adaptable output structures These patents strengthen AIML's position in the growing field of ...
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