Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...

Rising rates of heart rhythm problems are colliding with an aging population and crowded hospitals. At the same time, many people still rely on bulky monitors and sticky disposable patches to track ...

Age checks no longer stop at store counters or ticket booths. They now shape access to social media, online games, streaming services, and regulated products such as alcohol, tobacco, and gambling. In ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

For the first time, UCL researchers have used AI to identify two biologically distinct forms of multiple sclerosis ...

Objective Patients with atrial fibrillation (AF) frequently have multiple comorbidities that increase the risk of hospitalisation and contribute to higher mortality. However, studies examining the ...