Tests AI-guided home exercises for trunk posture in Parkinson's disease
Tests AI feedback exercises at home for trunk posture problems in adults with Parkinson's.
Key facts
- Who runs it
- IRCCS National Neurological Institute "C. Mondino" Foundation
- Where
- Pavullo nel Frignano, ItalySee the site
- Trial code
- Registry title
- Integrating AI in Postural Rehabilitation for Parkinson's Disease
- Status
- Recruiting
- People taking part
- 20 people, planned
- Started
- 1 Oct 2024
- Expected to end
- Dec 2028
- Type of study
- Interventional
- Treatments tested
- Neurorehabilitation
- AI-based home rehabilitation for postural disorders
- Record updated
- 8 June 2025
Who can take part
AI summary
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for adults with Parkinson's disease who have a bent trunk posture (camptocormia or Pisa Syndrome). It tests an AI-guided home exercise program.
- Age
- Above 18 years
- Sex
- All sexes can join
- Disease stage
- Parkinson's disease (MDS criteria), Hoehn and Yahr stage ≤ III, with camptocormia (forward trunk bend of at least 30°) or Pisa Syndrome (sideways trunk bend of at least 10°) at enrollment
- Biomarker or test result
- Mini-Mental State Examination (MMSE) score > 23
Main reasons for not taking part
- Atypical parkinsonian syndromes
- History of spinal surgery or previous vertebral trauma
- Spinal tumors or infections, now or in the past
- Idiopathic scoliosis, ankylosing spondylitis or spinal canal stenosis
- Other neurological conditions or severe dyskinesias
The registry criteria, word for word
Show all 14 criteriaShow less
Who can take part
- 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
Who cannot take part
- Previous vertebral trauma
- Atypical parkinsonian syndromes
- History of spinal surgery
- Current or past spinal tumors or infections
- Other neurological conditions
- Idiopathic scoliosis
- Ankylosing spondylitis
- Spinal canal stenosis
- Severe dyskinesias
Where in Italy
- IRCCS Mondino FoundationPavullo nel Frignano, ItalyContact: Roberto De IccoTaking people
About the trial
What the trial wants to find out
Postural abnormalities are highly disabling complications of Parkinson's disease (PD). These include camptocormia, anterocollis, and Pisa Syndrome (PS). PS is characterized by a lateral trunk flexion (LTF) typically exceeding 10 degrees, often accompanied by axial rotation, asymmetric shoulder positioning, and poor awareness of the postural alteration. This condition worsens during upright activities and improves in a supine position. Patients with PD and PS are characterized by more pronounced motor asymmetry, a disorganized trunk muscle activity, back pain, balance issues, and reduced quality of life compared to PD patients without postural disorders.
Read full original descriptionShow less
Camptocormia, another disabling postural anomaly, involves an anterior trunk flexion that also improves when lying down. Both PS and camptocormia are challenging to treat, with limited and short-lasting benefits from current multidisciplinary approaches, including medication, physiotherapy, botulinum toxin injections, and transcranial direct current stimulation (tDCS).
Given the limitations of traditional rehabilitation strategies, there is a growing need for innovative and personalized approaches. In this context, advanced technologies such as artificial intelligence (AI) offer new possibilities for home-based treatment. This study aims to evaluate the feasibility of using a real-time visual feedback system powered by AI as a complementary intervention following inpatient neurorehabilitation for PD patients with trunk postural disorders (PS or camptocormia). A secondary objective is to assess whether an AI-guided, personalized exercise program can help maintain improvements in posture, mobility, and quality of life in the medium term.
By integrating quantitative and qualitative outcomes, this study seeks to fill a gap in the literature and explore the potential of AI-driven home rehabilitation to support long-term functional gains and foster greater independence and well-being in people with PD.
The group in the trial
- PD-SubjectsTreatment being tested
Subjects with Parkinson's Disease and postural disorders (Pisa syndrome or camptocormia).
Treatment: Neurorehabilitation and AI-based home rehabilitation for postural disorders
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorData and sources
- Registry record
- Listed on ClinicalTrials.gov.
- Official title
- Efficacy of Integrating Artificial Intelligence Solutions in Rehabilitation in Postural Trunk Disorders in Parkinson's Disease.
- Plain-language title
- Tests AI-guided home exercises for trunk posture in Parkinson's diseaseGenerated from the registry record. The registry title is the official one.
- AI summary
- From the trial's eligibility criteria. Read by machine on 12 November 2026.
- Record updated
- 8 June 2025