The third wheel or the game changer? How AI could team up with neurologists in Parkinson's care

Abstract

Introduction

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.

Methods

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.

Results

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.

Conclusions

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.