We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Radcal IBA  Group

Download Mobile App




AI Automates Detection of Mitral Regurgitation on Echocardiograms for Minimally Invasive Procedure

By HospiMedica International staff writers
Posted on 23 Aug 2024

Mitral valve regurgitation is the most common but often missed heart valve disorder. More...

Out of the four valves in the heart for facilitating blood movement throughout the body, the mitral valve, situated on the heart's left side, fails to close properly in some individuals, leading to blood flowing backward, a condition known as mitral valve regurgitation. This issue hampers blood circulation and may evolve into more severe complications such as shortness of breath, arrhythmia, and heart failure. Accurately determining the severity of this condition is crucial to deciding whether patients might adopt a watch-and-wait strategy or require immediate intervention. Researchers have now developed an artificial intelligence (AI) program to detect the presence and severity of mitral valve regurgitation from echocardiograms that could help identify patients for a minimally invasive procedure or surgery.

To develop the new program, investigators at Smidt Heart Institute at Cedars-Sinai (Los Angeles, CA, USA) utilized over 58,000 transthoracic echocardiograms—a type of ultrasound imaging used to evaluate heart conditions, including mitral regurgitation. The effectiveness of this program was evaluated using echocardiograms from 1,800 patients at Cedars-Sinai and an additional 915 from Stanford Healthcare. The findings, published in Circulation, show that the AI model demonstrated high accuracy in identifying moderate to severe cases of mitral valve regurgitation. After analyzing videos from more than 50,000 echocardiogram studies, the deep learning model effectively identified the most relevant and important videos for evaluating the severity of mitral regurgitation.

“This could improve how we identify patients with mitral regurgitation, which is becoming more prevalent in our aging population, and to personalize treatment even more so than we already do,” said Raj Makkar, MD, associate director of the Smidt Heart Institute, where the team has also performed more than 1,500 robotic mitral valve repairs with a near 100% success rates.

Related Links:
Smidt Heart Institute


Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
New
Dual-Screen Medical Display
C822W
New
Cervical Seal
Omni Lok
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Critical Care

view channel
Image: the deep tissue in vivo sound printing (DISP) platform, which combines ultrasound with low-temperature–sensitive liposomes loaded with crosslinking agents (Photo courtesy of Elham Davoodi and Wei Gao/Caltech)

New Ultrasound-Guided 3D Printing Technique to Help Fabricate Medical Implants

3D bioprinting technologies hold considerable promise for advancing modern medicine by enabling the production of customized implants, intricate medical devices, and engineered tissues designed to meet... Read more

Surgical Techniques

view channel
Image: The engine-free, nonlinear, flexible, micro-robotic platform leverages AI to optimize GBM treatment (Photo courtesy of Symphony Robotics)

First-Ever MRI-Steerable Micro-Robotics to Revolutionize Glioblastoma Treatment

Glioblastoma Multiforme (GBM) is one of the most aggressive and difficult-to-treat brain cancers. Traditional surgical procedures, such as craniotomies, involve significant invasiveness, requiring large... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.