The Use of Artificial Intelligence to Predict the Prognosis of Patients Undergoing Central Nervous System Rehabilitation: A Narrative Review
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Healthcare |
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| Online Access: | https://www.mdpi.com/2227-9032/11/19/2687 |
| _version_ | 1797575804420358144 |
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| author | Min Cheol Chang Jeoung Kun Kim Donghwi Park Jang Hwan Kim Chung Reen Kim Yoo Jin Choo |
| author_facet | Min Cheol Chang Jeoung Kun Kim Donghwi Park Jang Hwan Kim Chung Reen Kim Yoo Jin Choo |
| author_sort | Min Cheol Chang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T21:44:32Z |
| format | Article |
| id | doaj.art-3ff37a13c88d4c9ab67a79add9954acb |
| institution | Directory Open Access Journal |
| issn | 2227-9032 |
| language | English |
| last_indexed | 2024-03-10T21:44:32Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Healthcare |
| spelling | doaj.art-3ff37a13c88d4c9ab67a79add9954acb2023-11-19T14:25:51ZengMDPI AGHealthcare2227-90322023-10-011119268710.3390/healthcare11192687The Use of Artificial Intelligence to Predict the Prognosis of Patients Undergoing Central Nervous System Rehabilitation: A Narrative ReviewMin Cheol Chang0Jeoung Kun Kim1Donghwi Park2Jang Hwan Kim3Chung Reen Kim4Yoo Jin Choo5Department of Rehabilitation Medicine, College of Medicine, Yeungnam University, Daegu 42415, Republic of KoreaDepartment of Business Administration, School of Business, Yeungnam University, Gyeongsan-si 38541, Republic of KoreaDepartment of Rehabilitation Medicine, Daegu Fatima Hospital, Daegu 41199, Republic of KoreaDepartment of Rehabilitation Technology, Graduate School of Hanseo University, Seosan, Chungcheongnam-do 31962, Republic of KoreaDepartment of Physical Medicine and Rehabilitation, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan 44033, Republic of KoreaDepartment of Rehabilitation Medicine, College of Medicine, Yeungnam University, Daegu 42415, Republic of KoreaApplications 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.https://www.mdpi.com/2227-9032/11/19/2687artificial intelligencecentral nervous systemrehabilitationpredictionprognosis |
| spellingShingle | Min Cheol Chang Jeoung Kun Kim Donghwi Park Jang Hwan Kim Chung Reen Kim Yoo Jin Choo The Use of Artificial Intelligence to Predict the Prognosis of Patients Undergoing Central Nervous System Rehabilitation: A Narrative Review Healthcare artificial intelligence central nervous system rehabilitation prediction prognosis |
| title | The Use of Artificial Intelligence to Predict the Prognosis of Patients Undergoing Central Nervous System Rehabilitation: A Narrative Review |
| title_full | The Use of Artificial Intelligence to Predict the Prognosis of Patients Undergoing Central Nervous System Rehabilitation: A Narrative Review |
| title_fullStr | The Use of Artificial Intelligence to Predict the Prognosis of Patients Undergoing Central Nervous System Rehabilitation: A Narrative Review |
| title_full_unstemmed | The Use of Artificial Intelligence to Predict the Prognosis of Patients Undergoing Central Nervous System Rehabilitation: A Narrative Review |
| title_short | The Use of Artificial Intelligence to Predict the Prognosis of Patients Undergoing Central Nervous System Rehabilitation: A Narrative Review |
| title_sort | use of artificial intelligence to predict the prognosis of patients undergoing central nervous system rehabilitation a narrative review |
| topic | artificial intelligence central nervous system rehabilitation prediction prognosis |
| url | https://www.mdpi.com/2227-9032/11/19/2687 |
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