Artificial intelligence (AI) recommendations reduce recurrent strokes, heart attacks, and vascular deaths within three months of a previous ischemic stroke, according to preliminary updated data presented at the American Stroke Association’s 2024 International Stroke Conference. That’s what it means. The conference was held in 2024. Phoenix, Arizona from February 7th to February 9th, 2024.

“This study shows that [AI]”This based clinical decision support system for stroke treatment is effective and feasible in Chinese clinical settings, and has improved patient outcomes,” said Dr. said Zixiao Li, MD, vice chair of the Department of Internal Medicine. This was announced by the Chinese city of Beijing in a press release. “This type of technology assists neurologists by combining the strengths of humans and her AI to facilitate information sharing between the two.”

Researchers in the GOLDEN BRIDGE II (NCT04524624) clinical trial included 77 hospitals in China that reported diagnosis and treatment of ischemic stroke patients. Data was collected in January 2021 and June 2023. Hospitals were randomly assigned either AI-based recommendations or recommendations from the patient’s care team. According to a press release, the AI ​​system used patient brain imaging scans, which were interpreted by AI with knowledge of stroke diagnosis, stroke classification, guideline-recommended treatments, and secondary stroke prevention strategies. Neurologists tested AI-based clinical judgment before the study began. Quality of stroke care was measured by a composite score of recognized performance measures, including nine measures at the beginning of hospitalization and five measures at discharge, according to a press release.

A total of 21,603 people participated in the study, approximately two-thirds were male, and the average age was 67 years. There were 11,054 people who received AI treatment and 10,549 who received conventional treatment. Almost all patients completed the three-month follow-up, according to a press release. Researchers measured the number of ischemic strokes, hemorrhagic strokes, heart attacks, and vascular-related deaths.

“The reduction in new vascular events is an important finding because it shows that AI has the potential to bring real change to stroke treatment and benefit this large number of stroke survivors.” said in a press release.

The researchers found that AI-based decisions reduced the likelihood of new vascular events by approximately 25.6% in the three months after the initial stroke. Additionally, individuals are more likely to be treated with guideline-recommended treatments using AI-based decisions, improving the quality of stroke care, according to the press release. Furthermore, after three months, those who received AI-based treatment had 2.9% and 3.9% fewer total vascular events than those who received standard care, according to the results.

The researchers found that at 3 months, both groups had statistically significant levels of disability when using the Rankin Scale score, which is used to determine the level of disability experienced by patients after a stroke. reported that there was no difference.

“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 will be expanded to include other health conditions,” Lee said in a press release.

reference

AI-based systems that guide stroke treatment decisions could help prevent stroke recurrence. news release. Yurek Alert. February 8, 2024. Accessed February 12, 2024. https://newsroom.heart.org/news/ai-based-system-to-guide-stroke-treatment-decision-may-help-prevent-another-stroke