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
Sign In
Advertise with Us

Download Mobile App

AI Tool Uses ECG to Predict Mortality Risk after Surgeries and Procedures

By HospiMedica International staff writers
Posted on 18 Dec 2023
Print article
Image: AI algorithm uses electrocardiograms to determine risks related to surgeries and procedures (Photo courtesy of 123RF)
Image: AI algorithm uses electrocardiograms to determine risks related to surgeries and procedures (Photo courtesy of 123RF)

An artificial intelligence (AI) algorithm uses electrocardiograms (ECGs) to accurately predict how patients would fare after surgeries and procedures.

Researchers at the Smidt Heart Institute at Cedars-Sinai (Los Angeles, CA, USA) have trained the AI model to analyze pre-operative ECGs, uncovering a novel application for this test, which dates back to the late 19th century. An ECG, a standard test that records the heart's electrical activity by placing electrodes on the skin, helps assess heart function. The study included patients undergoing various surgical procedures, encompassing open heart surgery, major surgeries, and less invasive techniques using catheters or endoscopes.

The research team correlated pre-surgical or pre-procedural ECGs of the patients with their subsequent post-operative outcomes. They tasked the AI algorithm with detecting correlations or patterns within the ECG waveforms. While the algorithm classified most patients as low risk, it flagged others as high risk, revealing that these individuals had an almost nine times higher likelihood of post-operative mortality. Currently, physicians gauge a patient's surgery risk based on medical society guidelines. The investigators at Cedars-Sinai are exploring how to adapt this AI algorithm into a web-based application, aiming to make it broadly accessible to both medical professionals and patients.

“This is the first electrocardiogram-based AI algorithm that predicts post-operative mortality,” said David Ouyang, MD, a cardiologist in the Department of Cardiology in the Smidt Heart Institute at Cedars-Sinai. “Previously, algorithms have been used to assess long-term mortality as well as individual disease states, but determining post-surgical outcomes helps inform the actual decision to do surgery.”

“As it now stands, clinicians only have a modest ability to predict how a patient is going to do after surgery,” added Ouyang. “Current clinical risk prediction tools are insufficient. This AI model could potentially be used to determine exactly which patients should undergo an intervention and which patients might be too sick.”

Related Links:

Gold Member
Disposable Protective Suit For Medical Use
Disposable Protective Suit For Medical Use
Gold Member
12-Channel ECG
Silver Member
Compact 14-Day Uninterrupted Holter ECG
EEG System

Print article


Surgical Techniques

view channel
Image: ROSA Shoulder is a groundbreaking robotic system for anatomic and reverse shoulder arthroplasty (Photo courtesy of Zimmer Biomet)

World's First Robotic Assistant for Shoulder Replacement Surgery Helps Perform Highly Complex Procedures

A key challenge in performing a shoulder replacement is accurate glenoid and humeral placement, which is a critical factor for post-operative function and long-term implant survival. Now, a groundbreaking... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The new eye-safe laser technology can diagnose traumatic brain injury (Photo courtesy of 123RF)

Novel Diagnostic Hand-Held Device Detects Known Biomarkers for Traumatic Brain Injury

The growing need for prompt and efficient diagnosis of traumatic brain injury (TBI), a major cause of mortality globally, has spurred the development of innovative diagnostic technologies.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.