Us Researchers Develop Ai Model Improving Sudden Cardiac Death Prediction

Us Researchers have developed a new artificial intelligence (ai) model that significant outperforms current clinical guidelines in identifying patients at HIGH Risk of Sudden Cardi Deat

The AI System, Known as Multimodal AI For Ventricular Arrhythmia Risk Stratification (Maars), Integrates Cardiac MRI Images with a Wide Rage of PATENT HEALTH RECORDS to Detect Hidden Warning Offering a new level of precision in Cardiovascular Risk Prediction, Xinhua News Agency Reported.

The study, published in the journal Nature Cardiovascular Research, focused on Hypertrophic cardiomyopathy – one of the most common inherited heart conditions and a leading cause of Sudden Cardi Death People.

“Currently we have Patients Dying in the Prime of their life because they are available and others who are putting up with defibrilators for the rest of their lives with no benefits,” said secure Natalia treyanova, a Researcher focused on Using Ai in Cardiology, at Johns Hopkins University.

“We have the ability to predict with very high accuracy whather a patient is at very high risk for sudden cardiac death or not,” Trayanova Added.

Clinical Guidelines used in the US and Europe Currently Have an Estimated Accuracy of only 50 per cent in identifying at-Risk Patients.

Ingtrast, the maars model demonstrated an overall accuracy of 89 per cent, and 93 per cent for patients aged 40 to 60 to 60 – – The group at the great risk.

The AI Model Analyses Contrast-Enhanced Mri Scans for Patterns of Heart Scarring-Something that Physicians Have Traditionally Found Dificult to Interpret. By applying Deep Learning to this earlier underured data, The Model Identifies Key Predictors of Sudden Cardiac Death.

“Our Study Demonstrates That The Ai Model Significantly Enhances Our Ability to Predict that that those at Highest Risk Compared to our Current Algorithms and Thus Has the power to transform to train,” SAID Co-Author Jonathan Chrispin, A Johns Hopkins Cardiological.

The team plans to further test the new model on more patients and expand the new algorithm to use with other types of heart diseases, including card Cardiac Sarcoidosis and Arrhythmogenic Right Ventricular Cardiomyopathy.

Ramesh Ghorai

Founder at Indo Affil Trading – 9830651921 – contactindiaffil@gmail.com – Web

Ramesh Ghorai Based in the vibrant city of Kolkata, West Bengal, India, I am a dedicated accountant working with a private company. Alongside his professional career, I am also an entrepreneur, managing a small MSME organizarion and founder in the name of Indo Affil Trading. With a passion for digital creativity, actively engages in website development and content creation. My website name of www.livenewsblogger.com, a live news and blogging platform delivering timely news, insightful blogs, and I hope People love to read my blog ..