AI-guided postural rehabilitation for Parkinson's-related Pisa syndrome and camptocormia
Official title: Efficacy of Integrating Artificial Intelligence Solutions in Rehabilitation in Postural Trunk Disorders in Parkinson's Disease.
Run by IRCCS National Neurological Institute "C. Mondino" Foundation · NCT07010328 · Data updated 2026-11-12
This project tests an AI-guided home rehabilitation program to improve posture for people with Parkinson's disease who have Pisa syndrome or camptocormia.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 20 (estimated) |
| Sponsor | IRCCS National Neurological Institute "C. Mondino" Foundation Academic / other |
| Locations | 1 site (Pavullo nel Frignano, Pavia) |
| Status | Recruiting |
| Started | October 1, 2024 |
| Main results expected | January 2028 |
| Study ends | December 2028 |
| Registry record updated | June 8, 2025 |
| Trial ID | NCT07010328 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults with Parkinson's disease (per MDS criteria), Hoehn and Yahr stage I–III, clinical Pisa syndrome (≥10° lateral flexion) or camptocormia (≥30° anterior flexion), and MMSE >23 without contraindicating spinal or neurological conditions.
✕Probably not a fit
Patients with atypical parkinsonian syndromes, significant cognitive impairment, prior spinal surgery or structural spinal disease, severe dyskinesias, or advanced disability (Hoehn and Yahr >III) are unlikely to benefit or be eligible.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This interventional program uses an AI-based home neurorehabilitation platform combined with outpatient neurorehabilitation to target postural deformities in people with Parkinson's disease, specifically Pisa syndrome and camptocormia. Participants meeting clinical criteria (Pisa lateral trunk flexion ≥10° or camptocormia anterior flexion ≥30°, Hoehn and Yahr ≤ III, MMSE >23) will follow individualized, sensor-guided exercise protocols delivered at home with scheduled clinic visits. The AI adapts exercises from real-time sensor feedback while clinicians monitor progress and modify treatment as needed. Primary outcomes include changes in trunk inclination angles, balance and functional measures, pain, and patient-reported quality of life over the study period.
Why it matters
Potential benefit: If successful, the intervention could provide more accessible, longer-lasting improvements in posture, balance, pain, and daily function for people with Parkinson's postural deformities.
How similar studies have gone: Some small physiotherapy and technology-assisted rehabilitation studies have shown short-term posture and balance gains in Parkinson's disease, but AI-guided home programs for Pisa syndrome and camptocormia remain largely untested.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age above 18 years * Diagnosis of Parkinson's disease according to MDS criteria * Hoehn and Yahr stage ≤ III * Clinical diagnosis of camptocormia (presence of an anterior axial trunk flexion of at least 30°), or of Pisa Syndrome (presence of a lateral trunk flexion of at least 10°) at the time of enrollment (T0) * Mini-Mental State Examination (MMSE) score \> 23 Exclusion Criteria: * Atypical parkinsonian syndromes * History of spinal surgery * Previous vertebral trauma * Current or past spinal tumors or infections * Idiopathic scoliosis * Ankylosing spondylitis * Spinal canal stenosis * Other neurological conditions * Severe dyskinesias
Where it's running
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IRCCS Mondino Foundation
Pavullo nel Frignano, Pavia, Italy Recruiting
Study contacts
- Principal investigator: Luca Martinis — IRCCS Mondino Foundation
- Study coordinator: Roberto De Icco
- Email: roberto.deicco@mondino.it
- Phone: +390382380425
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.