Calderone Andrea, Latella Desiree, Bonanno Mirjam, Quartarone Angelo, Mojdehdehbaher Sepehr, Celesti Antonio, Calabrò Rocco Salvatore
IRCCS Centro Neurolesi Bonino-Pulejo, S.S. 113 Via Palermo, C.da Casazza, 98124 Messina, Italy.
Department of Mathematics and Computer Sciences, Physical Sciences and Earth Sciences, University of Messina, 98124 Messina, Italy.
Biomedicines. 2024 Oct 21;12(10):2415. doi: 10.3390/biomedicines12102415.
Neurological disorders like stroke, spinal cord injury (SCI), and Parkinson's disease (PD) significantly affect global health, requiring accurate diagnosis and long-term neurorehabilitation. Artificial intelligence (AI), such as machine learning (ML), may enhance early diagnosis, personalize treatment, and optimize rehabilitation through predictive analytics, robotic systems, and brain-computer interfaces, improving outcomes for patients. This systematic review examines how AI and ML systems influence diagnosis and treatment in neurorehabilitation among neurological disorders. Studies were identified from an online search of PubMed, Web of Science, and Scopus databases with a search time range from 2014 to 2024. This review has been registered on Open OSF (n) EH9PT. Recent advancements in AI and ML are revolutionizing motor rehabilitation and diagnosis for conditions like stroke, SCI, and PD, offering new opportunities for personalized care and improved outcomes. These technologies enhance clinical assessments, therapy personalization, and remote monitoring, providing more precise interventions and better long-term management. AI is revolutionizing neurorehabilitation, offering personalized, data-driven treatments that enhance recovery in neurological disorders. Future efforts should focus on large-scale validation, ethical considerations, and expanding access to advanced, home-based care.
中风、脊髓损伤（SCI）和帕金森病（PD）等神经系统疾病对全球健康有重大影响，需要准确诊断和长期神经康复治疗。人工智能（AI），如机器学习（ML），可以通过预测分析、机器人系统和脑机接口来加强早期诊断、实现个性化治疗并优化康复过程，从而改善患者的治疗效果。本系统综述探讨了AI和ML系统如何影响神经系统疾病神经康复中的诊断和治疗。通过对PubMed、科学网和Scopus数据库进行在线检索来确定研究，检索时间范围为2014年至2024年。本综述已在Open OSF（n）EH9PT上注册。AI和ML的最新进展正在彻底改变中风、SCI和PD等疾病的运动康复和诊断，为个性化护理和改善治疗效果提供了新机会。这些技术加强了临床评估、治疗个性化和远程监测，提供了更精确的干预措施和更好的长期管理。AI正在彻底改变神经康复，提供个性化的、数据驱动的治疗方法，以促进神经系统疾病的恢复。未来的工作应集中在大规模验证、伦理考量以及扩大获得先进的家庭护理的机会上。
