June 14, 2024

AI-Based System Reduces Risk of Recurrent Stroke in Ischemic Stroke Survivors

The study found that patients who received care recommendations from the AI system had fewer recurrent strokes, heart attacks, or vascular deaths within three months compared to those whose treatment was not guided by AI tools.

According to the lead author of the study, Dr. Zixiao Li, the AI-based clinical decision support system for stroke care proved to be effective and feasible in clinical settings in China. Dr. Li emphasized that this technology facilitates the sharing of information between neurologists and AI, leveraging their combined strengths to improve patient outcomes.

Ischemic stroke is the leading cause of death in China, and timely evaluation and treatment decisions are crucial to minimize brain injury and restore blood flow. In the year 2021, stroke accounted for 7.44 million deaths globally, with almost half of those being ischemic strokes. In the United States, approximately 87% of strokes are ischemic strokes, which occur when blood vessels to the brain become narrow or clogged, impeding blood flow.

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

The study included over 20,000 participants, and the researchers measured the number of vascular events, such as ischemic strokes, hemorrhagic strokes, heart attacks, or deaths due to a vascular event, during a three-month follow-up period.

The results of the study demonstrated that the AI-based system significantly reduced the risk of recurrent strokes, heart attacks, and vascular deaths in ischemic stroke survivors. This highlights the importance of incorporating AI technology into stroke care protocols and decision-making processes.

The potential of AI in healthcare extends beyond stroke care. AI has already shown promise in various medical fields, including diagnostics, precision medicine, and personalized treatment planning. By utilizing AI algorithms and machine learning techniques, healthcare providers can enhance their decision-making abilities, improve patient outcomes, and reduce the burden on healthcare systems.

As the field of AI continues to advance, further research and development will be critical to ensure the accuracy, effectiveness, and ethical use of AI-based systems in healthcare. Collaborative efforts between healthcare professionals and AI experts will pave the way for innovative solutions that revolutionize patient care and ultimately save lives.

Note:
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it