Comprehensive Review of Advances and Translational Obstacles in Intelligent Multimodal Monitoring for Parkinson's Disease
-
By
-
Jianhui Tan
-
Xiuzhen Deng
-
Cuilan Wu
-
Molin Yao
-
Jingyi Liao
-
Haoli Zheng
-
Changlin Lian
-
April 17, 2026
-
Clinical Scorecard: Comprehensive Review of Advances and Translational Obstacles in Intelligent Multimodal Monitoring for Parkinson's Disease
At a Glance
| Category | Detail |
|---|
| Condition | |
| Key Mechanisms | Chronic, progressive neurodegenerative disorder affecting motor symptoms (e.g., bradykinesia, rigidity) and nonmotor functions (e.g., mood, cognition). |
| Target Population | |
| Care Setting | |
Key Highlights
- Rising prevalence of PD projected to reach 25.2 million by 2050.
- Current diagnostic methods are subjective and exhibit interrater variability, limiting accurate assessments.
- Emergence of intelligent software technologies for chronic disease management.
- Need for continuous monitoring tools to enhance clinical insights.
- Focus on remote monitoring platforms integrating diverse sensing modalities.
Guideline-Based Recommendations
Diagnosis
Management
- Implement remote monitoring platforms for real-time assessment of PD symptoms.
- Consider pharmacological adjustments based on real-time data from monitoring tools.
Monitoring & Follow-up
Risks
Patient & Prescribing Data
Integration of multimodal monitoring tools to optimize medication dosages and treatment plans based on real-time symptom tracking.
Clinical Best Practices
- Encourage the use of intelligent monitoring technologies for chronic disease management.
- Focus on patient compliance with wearable sensors for effective symptom tracking.
- Promote the development of algorithms for efficient feature extraction in PD assessment.
- Educate patients on the benefits and usage of wearable sensors.
References
