Skip to content

AI-based system to guide stroke treatment decisions may help prevent another stroke


stroke brain
Credit: Pixabay/CC0 Public Domain

Ischemic stroke survivors who received care recommendations from an artificial intelligence (AI)-based system had fewer recurrent strokes, heart attacks or vascular death within three months, compared to people whose stroke treatment was not guided by AI tools, according to preliminary late-breaking science presented today at the American Stroke Association’s International Stroke Conference 2024.

“This research showed that an artificial intelligence-based clinical decision support system for stroke care was effective and feasible in clinical settings in China and improved patient outcomes,” said lead study author Zixiao Li, M.D., Ph.D., chief physician, professor and deputy director of neurology at Capital Medical University’s Beijing Tiantan Hospital in Beijing, China. “This type of technology aids neurologists by facilitating the sharing of information between humans and AI, using their combined strengths.”

Ischemic stroke is the leading cause of death in China, according to Li. Timely evaluation and decisions for stroke diagnosis and treatment are critical to restore blood flow and minimize the amount of injury to the brain. In 2021, there were 7.44 million deaths attributable to stroke worldwide and about half of those were ischemic stroke, according to the most recent data in the 2024 Heart Disease and Stroke Statistics: A Report of U.S. and Global Data From the American Heart Association. In the U.S., 87% of strokes are ischemic strokes, which occur when blood vessels to the brain become narrowed or clogged with plaque, cutting off blood flow to the brain.

In the clinical trial called GOLDEN BRIDGE II, 77 hospitals in China were randomly assigned to deliver diagnosis and treatment for ischemic stroke patients either based on recommendations from the AI technology system or assessments and recommendations by the hospitals’ stroke care team. The AI system integrated participants’ brain imaging scans interpreted by AI with established clinical knowledge for stroke diagnosis, stroke classification and guideline-recommended treatment and strategies to prevent secondary stroke.

For the more than 20,000 participants in the study, researchers then measured the number of vascular events—ischemic strokes, hemorrhagic strokes, heart attacks or death due to a vascular event—among all study participants after their initial ischemic stroke during a three-month follow-up period.

The analysis found:

  • Using the AI-based clinical decision support system reduced the chances of new vascular events by 25.6% during the three-month period after the initial stroke, and also improved stroke care quality with patients more likely to be treated with guideline directed medical therapy.
  • At three months, participants treated at the hospitals using AI support experienced fewer total vascular events compared to people receiving standard post-stroke evaluation and treatment (2.9% vs. 3.9%).
  • There were no statistically significant differences in physical disability levels between patients in either the AI-guided care or the standard care group at three months, as assessed using a modified Rankin Scale Score—a tool used to determine levels of disability in people who have experienced a stroke.
Provided by
American Heart Association


Citation:
AI-based system to guide stroke treatment decisions may help prevent another stroke (2024, February 8)
retrieved 8 February 2024
from https://medicalxpress.com/news/2024-02-ai-based-treatment-decisions.html

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.





Source link

Leave a Reply

Your email address will not be published. Required fields are marked *