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Oct 06, 2023;11 (19):

The Use of Artificial Intelligence to Predict the Prognosis of Patients Undergoing Central Nervous System Rehabilitation: A Narrative Review.

Min Cheol Chang, Jeoung Kun Kim, Donghwi Park, Jang Hwan Kim, Chung Reen Kim, Yoo Jin Choo
Author Information
  1. Min Cheol Chang: Department of Rehabilitation Medicine, College of Medicine, Yeungnam University, Daegu 42415, Republic of Korea. ORCID
  2. Jeoung Kun Kim: Department of Business Administration, School of Business, Yeungnam University, Gyeongsan-si 38541, Republic of Korea.
  3. Donghwi Park: Department of Rehabilitation Medicine, Daegu Fatima Hospital, Daegu 41199, Republic of Korea. ORCID
  4. Jang Hwan Kim: Department of Rehabilitation Technology, Graduate School of Hanseo University, Seosan, Chungcheongnam-do 31962, Republic of Korea.
  5. Chung Reen Kim: Department of Physical Medicine and Rehabilitation, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan 44033, Republic of Korea. ORCID
  6. Yoo Jin Choo: Department of Rehabilitation Medicine, College of Medicine, Yeungnam University, Daegu 42415, Republic of Korea. ORCID
PMID: 37830724 DOI: 10.3390/healthcare11192687

Abstract

Applications of machine learning in the healthcare field have become increasingly diverse. In this review, we investigated the integration of artificial intelligence (AI) in predicting the prognosis of patients with central nervous system disorders such as stroke, traumatic brain injury, and spinal cord injury. AI algorithms have shown promise in prognostic assessment, but challenges remain in achieving a higher prediction accuracy for practical clinical use. We suggest that accumulating more diverse data, including medical imaging and collaborative efforts among hospitals, can enhance the predictive capabilities of AI. As healthcare professionals become more familiar with AI, its role in central nervous system rehabilitation is expected to advance significantly, revolutionizing patient care.

Keywords

artificial intelligence central nervous system prediction prognosis rehabilitation

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