Research Article
Transforming Stroke Care: The Impact of Artificial Intelligence in Early Detection, Prediction, and Rehabilitation
@INPROCEEDINGS{10.4108/eai.17-11-2023.2342856, author={Nithya R and Suruthi Senthilkumar and Vishnupriya Kalyanasundaram and Kaviya Annamala and Tarunika Yogaraj}, title={Transforming Stroke Care: The Impact of Artificial Intelligence in Early Detection, Prediction, and Rehabilitation}, proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India}, publisher={EAI}, proceedings_a={ICSETPSD}, year={2024}, month={1}, keywords={stroke care stroke risk prediction artificial intelligence wearable devices machine learning }, doi={10.4108/eai.17-11-2023.2342856} }- Nithya R
Suruthi Senthilkumar
Vishnupriya Kalyanasundaram
Kaviya Annamala
Tarunika Yogaraj
Year: 2024
Transforming Stroke Care: The Impact of Artificial Intelligence in Early Detection, Prediction, and Rehabilitation
ICSETPSD
EAI
DOI: 10.4108/eai.17-11-2023.2342856
Abstract
Stroke, commonly known as a ”cerebral event,” is a critical medical emergency with the potential for severe consequences. This paper explores the significant role of artificial intelligence (AI) in revolutionizing stroke care by enhancing early detection, precise diagnosis, and innovative rehabilitation. It delves into AI applications in stroke risk prediction, early detection through medical imaging and wearable devices, and AI-assisted treatment and rehabilitation. Several studies and developments in these areas are discussed, highlighting AI’s promising impact on stroke care. However, the article emphasizes the significance of tackling issues concerning data privacy, biases in algorithms, and ethical considerations. The incorporation of AI in stroke treatment offers the promise of enhancing patient results and expanding the reach of high-quality care, ultimately influencing the evolution of stroke management.