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

Download Mobile App




First-of-Its-Kind AI Tool Analyzes Heart MRI Scans in Just 20 Seconds

By HospiMedica International staff writers
Posted on 18 Mar 2022

A new artificial intelligence (AI) tool can be used to detect heart disease in record speed, helping to improve care for heart patients. More...

The first-of-its-kind AI tool, developed by a team of scientists and cardiologists at University College London (UCL, London, UK) analyses heart MRI scans in just 20 seconds whilst the patient is in the scanner. This compares to the 13 minutes or more it would take for a doctor to manually analyze the images after the MRI scan has been performed. It also detects changes to the heart structure and function with 40% greater precision and extracts more information than a human can.

The team trained the AI to measure the size of the left ventricle (the main pumping chamber of the heart), the thickness of the heart muscle and how well the left ventricle was able to pump blood around the body. They did this using heart MRI scans from 1,923 people - including people with seven different heart conditions at 13 different hospitals and using 10 different models of MRI scanner. The AI was then validated on a further 109 patients who were scanned twice. They found that the AI technology analyzed heart MRI scans more precisely than three doctors, removing the issue of subjectivity with human analysis.

The technology will improve diagnosis and treatment for a multitude of heart conditions. It is designed to diagnose a new heart condition when someone is first assessed for heart disease. It can spot early signs of heart disease - such as after having chemotherapy - which in some cases can cause damage to the heart, and it has the potential to screen for heart conditions in people with a family history of heart disease. The tool also helps doctors to see how patients with heart conditions are responding to their treatment, so they can then make any necessary adjustments.

According to the researchers, the AI will free-up valuable time of healthcare professionals so that their attention can be directed to seeing more patients on waiting lists, which will ultimately help with the backlog in vital heart care. The AI will also give patients and doctors more confidence in the results so that they can make better decisions about a person’s treatment and possible surgeries.

“Our new AI reads complex heart scans in record speed, analyzing the structure and function of a patient’s heart with more precision than ever before. The beauty of the technology is that it replaces the need for a doctor to spend countless hours analyzing the scans by hand,” said Dr. Rhodri Davies (UCL Institute of Cardiovascular Science and Barts Heart Centre at St Bartholomew’s Hospital), who was the study’s lead author. “We are continually pushing the technology to ensure it’s the best it can be, so that it can work for any patient with any heart disease.”

“This is a huge advance for doctors and patients, which is revolutionizing the way we can analyze a person’s heart MRI images to determine if they have heart disease at greater speed,” said Dr. Sonya Babu-Narayan, Associate Medical Director at the British Heart Foundation and Consultant Cardiologist. “The pandemic has resulted in a backlog of hundreds of thousands of people waiting for vital heart scans, treatment and care. Despite the delay in cardiac care, whilst people remain on waiting lists, they risk avoidable disability and death. That’s why it’s heartening to see innovations like this, which together could help fast-track heart diagnoses and ease workload.”

Related Links:
University College London 


Gold Member
Neonatal Heel Incision Device
Tenderfoot
Radiology Monitor
MDNC-6121 Barco Nio Color 5.8MP
Radiofrequency Generator
GX1
Patient Monitoring System
AlarmSense
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

Artificial Intelligence

view channel
Image: Artificial intelligence (AI) standalone performance and reader performance with versus without AI assistance. (A) Receiver operating characteristics (ROC) curve for AI standalone performance in the US dataset (AUC 0.899, 95% CI 0.858 to 0.939). (B) ROC curve for AI standalone performance in the Korean dataset (AUC 0.963, 95% CI 0.946 to 0.975). (C) Pooled reader ROC without (AUC 0.718) versus with (AUC 0.852) AI assistance in the Korean dataset; P<0.001. AUC, area under the receiver operating characteristics curve. (Leonard Sunwoo et al., Journal of NeuroInterventional Surgery (2026). DOI: 10.1136/jnis-2026-025339)

AI Improves Non-Contrast CT Interpretation for Time-Sensitive Stroke Assessment

Acute ischemic stroke occurs when a blood vessel in the brain becomes blocked, requiring rapid diagnosis to enable timely reperfusion therapy. Emergency departments often use computed tomography angiography... Read more

Critical Care

view channel
Image Credit: Adobe Stock

Noninvasive Imaging Approach Aims to Detect Basal Cell Carcinoma Before It Becomes Visible

Basal cell carcinoma is the most common form of skin cancer and can damage nearby structures such as the nose or eyes when it develops on the face. Diagnosis typically depends on visible skin changes,... Read more

Surgical Techniques

view channel
Image: Associate Professor Menglin Chen studies how the light-sensitive nanoparticles affect living cells. The screen shows calcium being released inside a cell after nanoparticles taken up by the cell are exposed to blue light. Calcium plays an important role in cellular signaling, and the experiment helps the researchers understand how the nanoparticles can translate light into biological activity. (Photo courtesy of Aarhus University, Johanne Holm Jensen)

Light-Activated Nanoparticles May Offer New Approach to Retinal Prostheses

Retinitis pigmentosa is a degenerative retinal disorder in which photoreceptors progressively die, reducing visual signals to the brain while leaving surviving inner retinal circuits underused.... Read more

Point of Care

view channel
Image Credit: 123RF

Continuous Glucose Monitoring Identifies Cardiometabolic Risk in Adults Without Diabetes

Dysglycemia—abnormal blood glucose regulation—can fluctuate throughout the day and often escape conventional screening. Clinicians typically rely on fasting plasma glucose and hemoglobin A1c, which offer... Read more

Business

view channel
Image: LigaSure RAS Maryland, designed for the Valleylab FT10 platform on Hugo RAS, seals and cuts vessels, tissue, and lymphatics up to 7 mm in diameter (Photo courtesy of Medtronic)

Medtronic Receives FDA Clearance for Vessel-Sealing Instrument for Robotic Surgery

As robotic-assisted surgery expands across U.S. hospitals, teams increasingly seek energy instruments with the familiarity and performance of tools used in open and laparoscopic procedures.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.