Malaguti Maria Chiara, Gios Lorenzo, Jurman Giuseppe
Azienda Provinciale per i Servizi Sanitari (APSS) di Trento, Trento, Italy.
TrentinoSalute4.0 - Competence Center for Digital Health of the Province of Trento, Trento, Italy; Fondazione Bruno Kessler, Trento, Italy.
Parkinsonism Relat Disord. 2025 May;134:107797. doi: 10.1016/j.parkreldis.2025.107797. Epub 2025 Mar 28.
Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by diverse motor and non-motor symptoms. AI appears to be the elephant in the neurologist's room, albeit offering transformative potential in early diagnosis, personalized care, and treatment optimization, addressing the complexities of PD management.
A PubMed review analyzed AI's role in PD care, focusing on multimodal data, clinician-in-the-loop models, and validation strategies to enhance clinical applicability while addressing ethical concerns.
Thirty-nine studies met inclusion criteria. While progress is evident, challenges include limited independent validation, small sample sizes, and inconsistent clinician involvement. Key trends show growing interest in multimodal data and predictive modelling, though gaps in transparency persist.
AI holds promise for improving PD management, yet robust validation, interdisciplinary collaboration, and clearer clinician roles are essential for advancing patient-centered care and fostering trust in AI-driven innovations.
帕金森病（PD）是一种进行性神经退行性疾病，其特征是具有多种运动和非运动症状。人工智能似乎已成为神经科医生诊室里的“庞然大物”，尽管它在早期诊断、个性化护理和治疗优化方面具有变革潜力，可应对帕金森病管理的复杂性。
一项PubMed综述分析了人工智能在帕金森病护理中的作用，重点关注多模态数据、临床医生参与模型以及验证策略，以提高临床适用性，同时解决伦理问题。
39项研究符合纳入标准。虽然进展明显，但挑战包括独立验证有限、样本量小以及临床医生参与不一致。关键趋势表明，对多模态数据和预测建模的兴趣日益浓厚，不过在透明度方面仍存在差距。
人工智能有望改善帕金森病的管理，但强大的验证、跨学科合作以及更明确的临床医生角色对于推进以患者为中心的护理和增强对人工智能驱动创新的信任至关重要。
