February 8, 2024 — Latest Science from Day 2 American Stroke Association‘s international stroke conference, ISC 2024sheds light on the use of artificial intelligence (AI) to support treatment decisions for stroke patients.
Researchers find that an artificial intelligence (AI) system that helps stroke patients make treatment decisions improves the quality of stroke care and reduces recurrent strokes, heart attacks, and vascular deaths in stroke survivors three months after stroke. I discovered that it was connected to
Report from ahAnnounced this afternoon, the ASA focuses on a clinical trial called Golden Bridge II conducted in a hospital in China that aims to improve artificial intelligence-based assessment and treatment of ischemic stroke patients by stroke care teams. compared to standard evaluation and treatment.
Ischemic stroke survivors who received care recommendations from an artificial intelligence (AI)-based system had fewer recurrent strokes, heart attacks, and blood vessels within three months compared to those who did not receive stroke treatment from AI tools. There were fewer deaths.
“This study showed that an artificial intelligence-based clinical decision support system for stroke treatment is effective and feasible in Chinese clinical settings and improves patient outcomes,” said lead author of the study. said Zixiao Li, MD, principal investigator and professor.Deputy Director, Department of Neurology, Metropolitan Medical University Beijing Tiantan Hospital The announcement was made in a news release issued by the American Heart Association/American Stroke Association in Beijing, China. Zixiao Li added, “This kind of technology will assist neurologists by combining the strengths of humans and AI and facilitating information sharing between the two.”
According to Li, ischemic stroke is the leading cause of death in China. Timely assessment and decisions regarding stroke diagnosis and treatment are critical to restoring blood flow and minimizing the amount of damage to the brain. According to the latest data, there were 7.44 million deaths worldwide due to stroke in 2021, of which about half were ischemic strokes. 2024 Heart Disease and Stroke Statistics: American Heart Association U.S. and World Data Report. In the United States, 87% of strokes are ischemic strokes. Ischemic stroke occurs when blood vessels in the brain become narrowed or clogged with plaque, cutting off blood flow to the brain.
In a clinical trial called GOLDEN BRIDGE II, 77 hospitals in China will be randomly selected to provide diagnosis and treatment for ischemic stroke patients based on recommendations from AI technology systems or assessments and recommendations by the hospital’s stroke treatment team. Assigned. The AI system integrated AI-interpreted brain imaging scans of participants with established clinical knowledge about stroke diagnosis, stroke classification, guideline-recommended treatments, and strategies to prevent secondary strokes.
The researchers then measured the number of vascular events, including ischemic stroke and ischemic stroke, in the study’s more than 20,000 participants. hemorrhagic stroke, heart attack or death from a vascular event – all study participants after first ischemic stroke during the 3-month follow-up period.
The analysis revealed the following:
- Using an AI-based clinical decision support system, the likelihood of a new vascular event was reduced by 25.6% in the three months following the initial stroke, and patients were more likely to be treated with guideline-directed drug therapy. and the quality of stroke care has improved.
- At 3 months, participants treated in the hospital with AI support had fewer total vascular events than those receiving standard post-stroke assessment and treatment ( 2.9% vs. 3.9%).
- As assessed using the modified Rankin Scale score (a tool used to determine the level of disability in experienced people), at 3 months, physical There were no statistically significant differences in disability levels. stroke.
“The reduction in new vascular events is an important finding, as it shows that AI has the potential to bring real changes to stroke treatment and benefit this large number of stroke survivors.” said Lee, who is also a university professor. Research Center for Neurological Diseases; Artificial Intelligence Research Unit in Cerebrovascular Diseases, Chinese Academy of Medical Sciences. And the China Brain Research Institute is all located in Beijing.
“In the future, we expect to see many more AI applications validated through clinical research, and we hope that clinical decision support systems will help improve stroke care, including reperfusion therapy, long-term secondary prevention, and rehabilitation.” At the same time, we hope that the application of AI can be extended to include other health conditions. ”
Additional study details
The study was conducted in 77 hospitals across China from January 2021 to June 2023. A total of 21,603 adults hospitalized with acute ischemic stroke took part in the study, about a third of whom were women, and the average age of the participants was 67 years.
The number of participants who received each treatment approach was similar: 11,054 received AI evaluation and treatment, and 10,549 received usual care and treatment based on the hospital’s neurologist’s assessment and recommendations. Almost all participants (21,579) completed the 3-month follow-up and were therefore included in the final data assessment.
Hospital neurologists testing AI technology Stroke AI Clinical Decision Support System Before Research Starts. Additionally, in the news summary, Stroke Care Quality is an international set of evidence-based performance measures for quality of acute ischemic stroke care, including eight measures at the beginning of admission and five measures at discharge. It was measured by a globally recognized composite score, Lee said.
Limitations of the study include that hospitals were randomly assigned to the AI-based strategy or standard of care rather than individual patients. Additionally, differences in patterns of care and outcomes between hospitals and subsequent outpatient treatment may have influenced the results. Additionally, the ability to sustain improvements in care and outcomes requires further evaluation, and the capabilities of stroke AI-based clinical decision support systems need to be constantly updated with revised evidence-based clinical guidelines. There may be. More widespread and sustainable clinical application models of stroke AI-based clinical decision support systems in other health conditions and other countries should be considered. Co-authors, disclosure information, and funding sources are listed in the manuscript.
This year’s International Stroke Conference, to be held from February 7th to 9th at the Phoenix Convention Center in Phoenix, is the world’s first conference for researchers and clinicians dedicated to the science of stroke and brain health. widely known.
Read DAIC’s ISC 2024 news coverage here.