A new ai model can flag female patients who are at Higher Risk of Heart Disease Based on an Electrocardogram (ECG). The researchers say the algorithm, designed specifically for female patients, could enable doctors to identify high-RISK WOMEN Earlier, Enableing Better treatment and care. Details are Published in The lancet digital health.

An eCG records the electoral activity of the heart and is one of the most common medical tests in the world. In their study, the researchers used artificial intelligence to analyze over 1 million ecgs from 180,000 patients, of who 98,000 was female female.

In the latest study, the results developed a score that measures how closely an individual’s ecg matches’ Typical ‘Typical’ Patterns of Ecgs for Men and Women, Women, WHICH SHOWED A Rage of Risk for Ekh SEX. Women whose ecgs more closely matched the typical ‘male’ pattern – Such as having an increase size of the Electrical Signal – Tended to have larger heart chambers and more muscle mass.

Crucially, these women we also found to have a significant Higher Risk of Cardiovascular Disease, Future Heart Failure, and Heart Attacks, Heart Attacks, CompAred to Women with Ecchs more Closely Matching the ‘Typical Female ‘ecg.

Previous Evidence has shown that men tend to be at Higher Risk of Heart Disease – More Accurately Called Cardiovascular Disease – Health May Be Due Due to Differences IN HORMONECEs. Because of this, health care professionals and the public belief that women’s risk of cardiovascular disease is low.

This is even thought the risk for women is also high, with women twice as likely to die of coronary heart disease, the main cause of heart attack, than from breast cancer in the uk.

A recent Consensus statement Called Cardiovascular Disease The ‘Number One Killer’ of Women. The statement called for better diagnosis and treatment for women, as well as better female representation in clinical trials.

Dr. Arunashis Sau, Academic Clinical Lecturer at Imperial College London’s National Heart and Lung Institute, and Cardiology Registrar at Imperial College Healthcare NHS TRUST, LED THESERCH. He said, “Our work has underlined that cardiovascular disease in females is far more complex than previously thought. In the clinic, we use tests like ecgs to provide A result, this may involve grouping patients by sex in a way that doesn Bollywood into account their individual physiology.

“The AI-Enhanced Ecgs Give Us a more nuanced undress of female health –nd we believe

Dr. Fu Siong Ng, Reader in Cardiac electrophysiology at the National Heart & Lung Institute at Imperial College London and a Consultant Cardiologist at Imperariallege Healthcare NHS TRUST and CHELSEAIA Westminster Hospital NHS Foundation Trust, was the Senior Author of the Study.

He said, “Many of the women identified was in fact at even higher risk Outcomes for women at risk of heart disease. “

The research group recently published another paper on the related AI-Exg Risk Estimation Model, Known as AIRE, which can predict patients’ Risk of Developing and Worsening Disease from An Ecg.

Trials of aire in the nhs are already planned for late 2025. Chelsea and Westminster Hospital NHS Foundation Trust. This model will be tried in connection with aire.

Dr. Sonya Babu-Narayan, Clinical Director at the British Heart Foundation, SAID, “far too often, women are ill-taken or even dismissed by health care professionals, Thanks to the MYTH DISEASE ISESE A male ‘Issue.

“This study has applied powerful ai technology to ecgs, a routine, cheap and widely available heart test. Harnassing the potential of this type of research could hold all Risk of Future Heart Problems and Reduce the Gender Gap in Heart Care Outcomes. require change in every part of our health care system. “