Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Transforming Stroke Care: The Impact of Artificial Intelligence in Early Detection, Prediction, and Rehabilitation

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  • @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
Nithya R1,*, Suruthi Senthilkumar1, Vishnupriya Kalyanasundaram1, Kaviya Annamala1, Tarunika Yogaraj1
  • 1: Department of Pharmaceutics, PSG College of Pharmacy
*Contact email: nithyar7340@psgpharma.ac.in

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.