Have your competent? doctor get the EXACT PROTOCOL! Not being able to do that simple task IS PURE INCOMPETENCE! I take no prisoners in trying to get stroke solved, which means a lot of dead wood/brains need to find easier jobs. The gap is not stroke 'care' you blithering idiots, it's RECOVERY! The only goal in stroke is 100% recovery. And I think a lot of funerals will need to occur before we get the right strategy and leadership to GET THERE!
Neils Bohr who famously said science progresses one funeral at a time.
It is the same in stroke? How many and who will have to die before we get 100% recovery protocols?
AI-powered stroke tool linked to improved patient outcomes in large clinical trial
- A new study suggests that a stroke clinical decision support system (CDSS), which uses artificial intelligence (AI) assisted imaging, could help to significantly reduce the risk of recurrent vascular events.
- Researchers suggest the AI tool is a safe intervention that provides the added benefits of lower cost and greater sustainability.
- In the large study, the AI-based system improved stroke care(NOT RECOVERY!) and outcomes, supporting its potential as a scalable tool for routine stroke care(NOT RECOVERY!), particularly in resource-limited settings.
Stroke is a significant global health concern and continues to be a leading cause of disability and death in the United States.
Evidence suggests that
Clinicians play a critical role in preventing recurrent stroke. Typically, this occurs through implementing effective strategies, such as prevention plans, regular patient reviews, and addressing lifestyle modifications.
To assist with this, clinicians may consider clinical decision support systems (CDSS). These systems can help healthcare institutions analyze data from electronic health records and make recommendations to physicians by sending prompts and reminders in real-time
The potential scope of CDSS to help aid clinicians in complex decision-making processes for preventing stroke is increasing. However, many tools that utilize AI have not been rigorously evaluated, limiting their use.
Now, a large study published in
The findings suggest that such systems could offer a scalable and cost-effective way to enhance stroke management, particularly in regions with limited healthcare resources.
The use of AI technologies has increasingly been explored in healthcare, particularly for diagnosing disease, predicting outcomes, and supporting clinical decision making.
However, many AI tools designed for stroke care(NOT RECOVERY!) have not yet undergone rigorous evaluation in real-world clinical settings, limiting their widespread adoption.
To address this, researchers in China conducted a large trial to assess whether an AI-assisted CDSS could improve care(NOT RECOVERY!) quality and patient outcomes in routine practice.
The system analyzes brain scans to classify stroke causes and combines this with evidence-based treatment recommendations tailored to individual patients.
The research team suggests that the AI-based tool was associated with a significant reduction in subsequent vascular events compared with standard care(NOT RECOVERY!).
Christopher Yi, MD, board certified vascular surgeon at MemorialCare Orange Coast Medical Center in Fountain Valley, CA, who was not involved in the study, suggests how AI could fit into stroke management.
“This study is the first of its kind to utilize AI for stroke care(NOT RECOVERY!) from being a diagnostic aid to being a tool that can improve care(NOT RECOVERY!) quality and reduce recurrent vascular events,” said Yi.
“In this study, the CDSS did more than read images: It integrated AI-assisted imaging, stroke-cause classification, reminders for needed evaluations, and guideline-based treatment recommendations,” he added.
“The biggest takeaway is that a well-integrated CDSS can help clinicians deliver more consistent evidence-based stroke care. It also helps guide interventionalists to better outcomes by improving stroke care quality and decreasing long term vascular events.”
– Christopher Yi, MD
The large study involved more than 21,000 participants with acute ischemic stroke admitted to 77 hospitals across China within 7 days of symptom onset. The individuals had an average age of 67, and just over one-third were female.
Between January 2021 and June 2023, 11,054 people received treatment at 38 hospitals supported by the AI-based CDSS. The other 10,549 participants at 39 hospitals received usual medical care.
Physicians in the intervention group were trained to use the system. The CDSS incorporated a range of patient-specific factors, including age, medical history, lifestyle, and hospital characteristics, when generating recommendations.
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