The technology analyses complex multi-organ imaging and clinical data to identify disease severity, detect previously unknown hypertension subtypes, and potentially enable earlier, more personalised ...

Abstract: Cardiovascular disease (CVD) is the leading cause of death worldwide. A Machine Learning (ML) system can predict CVD in the early stages to mitigate mortality rates based on clinical data.

Abstract: Cardiovascular diseases (heart diseases) are the leading cause of death worldwide. The earlier they can be predicted and classified; the more lives can be saved. Electrocardiogram (ECG) is a ...

Historically, medicine has been a male-biased field. For cardiovascular disorders, too, women are less likely to be diagnosed, or are diagnosed later and with more symptoms. Now, scientists have used ...

Artificial intelligence applied to the ECG is expanding the clinical role of this widely available diagnostic tool beyond ...

AccurKardia has been granted a U.S. patent for a machine learning-based system designed to identify cardiac amyloidosis from a standard 12-lead electrocardiogram, positioning the ECG analytics company ...

This article is authored by Dr. Ashok Punjabi is a consultant cardiologist with 40 years of non-invase and invasive ...

EchoNext examines the electrical signals captured during a routine ECG. Although these signals may appear normal to the human ...

University of Pittsburgh postdoctoral researcher Mary Cundiff uses machine learning and single-cell genomics to study ...

PreOncology today announced the launch of the nation's first medical-grade, oncologist-led cancer prevention and early detection program, introducing an emerging subspecialty of medical oncology ...

If we want to improve people’s health outcomes, prevention must move “from aspiration to delivery”, says new University of ...

Sleep quality may be writ in spit. New research suggests your quality of sleep can be measured through metabolic changes in ...