AI-guided postural rehabilitation for Parkinson's-related Pisa syndrome and camptocormia

Efficacy of Integrating Artificial Intelligence Solutions in Rehabilitation in Postural Trunk Disorders in Parkinson's Disease.

Not applicable Interventional IRCCS National Neurological Institute "C. Mondino" Foundation · NCT07010328

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

PhaseNot applicable
Study typeInterventional
Enrollment20 (estimated)
Ages18 Years and up
SexAll
SponsorIRCCS National Neurological Institute "C. Mondino" Foundation Academic / other
Locations1 site (Pavullo nel Frignano, Pavia)
Trial IDNCT07010328 on ClinicalTrials.gov

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.

Who should consider this trial

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.

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.

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 performed: 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.

Eligibility criteria

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 this trial is running

Pavullo nel Frignano, Pavia

Study contacts

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions Parkinson DiseasePhysical InactivityPhysical DisabilityPisa SyndromePhysical activityNeurological disorderArtificial Intelligence
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.