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
GLOBETECH PUBLISHING LLC

Download Mobile App




Groundbreaking AI-Based Method Accurately Classifies Cardiac Function and Disease Using Chest X-Rays

By HospiMedica International staff writers
Posted on 07 Jul 2023

Valvular heart disease, a leading cause of heart failure, is commonly diagnosed using echocardiography. More...

However, this technique demands specialized expertise, leading to a shortage of proficient technicians. Chest radiography, on the other hand, is a widely used diagnostic method for identifying primarily lung diseases. Even though the heart is visible in chest radiographs or chest X-rays, its potential to detect cardiac function or disease has been largely unexplored until now. Given their widespread use, rapid execution, and high reproducibility, chest X-rays could serve as a supplementary tool to echocardiography for diagnosing cardiac conditions if they could accurately determine cardiac function and disease. Now, an innovative artificial intelligence (AI) tool uses chest X-rays to classify cardiac functions and identify valvular heart disease with unprecedented accuracy.

Scientists at Osaka Metropolitan University (Osaka, Japan) have developed an AI-based model capable of accurately classifying cardiac functions and diagnosing valvular heart diseases using chest X-rays. Given the potential for bias and resultant low accuracy if AI is trained on a single dataset, the team collected a multi-institutional dataset comprising 22,551 chest X-rays and corresponding echocardiograms from 16,946 patients across four facilities between 2013 and 2021. The AI model was trained using chest X-rays as input data and the corresponding echocardiograms as output data, enabling it to learn the features connecting the two datasets.

The AI model succeeded in precisely classifying six selected types of valvular heart disease, with the Area Under the Curve (AUC is a rating index denoting an AI model's capability with a value range from 0 to 1—the closer to 1, the better) ranging from 0.83 to 0.92. The AUC was 0.92 at a 40% cut-off for detecting left ventricular ejection fraction—an essential metric for monitoring cardiac function.

“It took us a very long time to get to these results, but I believe this is significant research,” stated Dr. Daiju Ueda from Osaka Metropolitan University who led the research team. “In addition to improving the efficiency of doctors’ diagnoses, the system might also be used in areas where there are no specialists, in night-time emergencies, and for patients who have difficulty undergoing echocardiography.”

Related Links:
Osaka Metropolitan University 


Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
New
Lateral Lumbar Interbody Spacer
CALIBER-L
New
Half Apron
Demi
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

Surgical Techniques

view channel
Image: For the first time, a fluorescent-guided nerve imaging agent has shown promise for use in humans (Photo courtesy of VUMC)

Fluorescent Imaging Agent ‘Lights Up’ Nerves for Better Visualization During Surgery

Surgical nerve injury is a significant concern in head and neck surgeries, where nerves are at risk of being inadvertently damaged during procedures. Such injuries can lead to complications that may impact... Read more

Patient Care

view channel
Image: The revolutionary automatic IV-Line flushing device set for launch in the EU and US in 2026 (Photo courtesy of Droplet IV)

Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care

More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read more

Business

view channel
Image: A research collaboration aims to further advance findings in human genomics research in cardiovascular diseases (Photo courtesy of 123RF)

Bayer and Broad Institute Extend Research Collaboration to Develop New Cardiovascular Therapies

A research collaboration will focus on the joint discovery of novel therapeutic approaches based on findings in human genomics research related to cardiovascular diseases. Bayer (Berlin, Germany) and... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.