This is an excellent area to consider. I believe AI can aid stroke patients before they are diagnosed by precisely identifying the risk factors. This can be accomplished by analysing data from many perspectives, such as medical records, genetic backgrounds, and the lifestyles of people affected by this issue. This approach can assist identify those who are at greater risk to have a stroke.
AI can also help with this issue after diagnosis by improving the diagnosis, especially since we have data from various sources that we can analyse, which may result in progress such as creating plans for personalising treatment, as well as monitoring diagnosed patients via IoT devices and sensors, capturing important data to help improve the already available solution.
so I think there are alot of research gaps available in this subject.
I hope this one helps.
Dear Heidrich Vicci ,
Artificial intelligence application using imaging helps enhance diagnostic accuracy and interventional prognosis in stroke patients. In this research, a machine learning is created to aid in improving the diagnosis and prognosis of patients with strokes.
https://www.neurology.org/doi/10.1212/WNL.0000000000204191#:~:text=Artificial%20intelligence%20application%20using%20imaging,prognosis%20of%20patients%20with%20strokes.
Regards,
Shafagat
AI has the potential to revolutionize the management of stroke patients by enabling earlier detection, personalized treatment, and more effective rehabilitation strategies, ultimately leading to better outcomes and improved quality of life for patients.
1- Early Detection and Diagnosis
2- Risk Assessment
3- Treatment Planning
4- Rehabilitation: AI-powered technologies such as robotic exoskeletons, virtual reality (VR), and gamified rehabilitation exercises can aid in the recovery and rehabilitation of stroke patients.
5- Remote Monitoring: AI-enabled wearable devices and remote monitoring systems can continuously track vital signs and other relevant health metrics
6- Predictive Analytics: AI algorithms can analyze large datasets of patient records to identify patterns and trends associated with stroke incidence, progression, and outcomes.
You can probably use it to predict potential stroke risk in real-time, which might help to avoid it or give you time to call 911. Although, I'm not a doctor, so I cannot say if you can really do that.
AI is becoming a game-changer for stroke patients. Here's how:
- Before a stroke: AI can spot strokes faster in scans and predict who's at higher risk, allowing for earlier intervention and prevention.
- After a stroke: AI helps doctors choose the best treatment plan based on the patient's specific situation and assists with recovery through personalized rehab programs.
Overall, AI can lead to faster treatment, better results, and potentially lower healthcare costs for stroke patients. However, it's important to see AI as a helpful tool for doctors, not a replacement.
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