Artificial Intelligence-based Parkinson's Disease Risk Assessment (AI-PRA) Study
AI-PRA
1 other identifier
observational
60
3 countries
3
Brief Summary
The study aims to provide initial proof-of-concept validation data of an artificial intelligence-based model to estimate individual Parkinson's disease risk using demographic, clinical, genetic information and digital biomarker data collected via a smartwatch and a mobile application.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Jul 2026
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 1, 2026
CompletedStudy Start
First participant enrolled
July 1, 2026
CompletedFirst Posted
Study publicly available on registry
July 16, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
September 30, 2027
July 20, 2026
July 1, 2026
1.2 years
July 1, 2026
July 16, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Classification performance of the PD risk artificial intelligence-based model
Classification performance of the model in predicting dopaminergic degeneration defined as a binary outcome: a participant will be considered to have dopaminergic degeneration if putamen specific binding ratio (SBR) on the most affected side is below 2 standard deviations of age-matched normative data or shows abnormal visual inspection by a qualified nuclear medicine specialist on dopamine transporter SPECT imaging.
From enrolment to 6 months
Secondary Outcomes (1)
Usability of study digital environment (mAI-Health phone app)
At 6 month visit
Study Arms (1)
Cohort of people at risk of Parkinson's disease
People at risk of PD defined by the presence of either polysomnography-confirmed REM sleep behaviour disorder, neurogenic orthostatic hypotension or objective hyposmia documented with smell test.
Interventions
Wearing a smartwatch and using a mobile phone application for 6 months in order to provide digital biomarker data and additional self reported clinical information.
Eligibility Criteria
People at risk of PD due to the presence of clinical markers associated with prodromal PD including one of the following: 1. REM sleep behaviour disorder (RBD) confirmed with polysomnography. 2. Neurogenic orthostatic hypotension (nOH) defined as a drop in systolic / diastolic blood pressure ≥ 20/10mmHg within 3 minutes of active standing or tilt-table test, and with a blunted heart rate response (ΔHeart rate/ΔSBP ratio \< 0.5 bpm/mmHg). 3. Objective hyposmia defined as University of Pennsylvania Smell Identification Test (UPSIT) score ≤ 15th percentile for age and sex.
You may qualify if:
- Age ≥ 50 years.
- At least one of the following clinical markers for PD risk:
- REM sleep behaviour disorder (RBD) confirmed with polysomnography.
- Neurogenic orthostatic hypotension (nOH) defined as a drop in systolic / diastolic blood pressure ≥ 20/10mmHg within 3 minutes of active standing or tilt-table test, and with a blunted heart rate response (ΔHeart rate/ΔSBP ratio \< 0.5 bpm/mmHg).
- Objective hyposmia defined as University of Pennsylvania Smell Identification Test (UPSIT) score ≤ 15th percentile for age and sex.
- Able and willing to give informed written consent.
- Use of compatible smartphone (mobile operating system Android version 11 or newer). A smartwatch will be provided to each participant for the duration of the study.
You may not qualify if:
- Clinical diagnosis of Parkinson's disease (PD) according to MDS clinical diagnostic criteria.
- Currently taking levodopa, dopamine agonists, MAO-B inhibitors, amantadine or another PD medication, except for low-dose treatment of restless leg syndrome (with permission of investigator).
- Dementia defined as deterioration of cognitive function severe enough to impair functioning on daily activities.
- Active treatment with neuroleptics, reserpine or metoclopramide (these drugs should be discontinued for at least 6 months before screening visit) due to their interference with dopamine transporter SPECT imaging acquisition and interpretation.
- Pregnant women.
- Concomitant participation in interventional studies.
- Unwilling or unable to give informed written consent.
- Vulnerable individuals as defined by the HRA.
- Inability to use the smartwatch and/or the mAI-Health app for the purpose of the study as judged by the investigator.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Queen Mary University of Londonlead
- Hospital Ruber Internacionalcollaborator
- University Hospital, Toulousecollaborator
- Aristotle University Of Thessalonikicollaborator
Study Sites (3)
Centre Hospitalier Universitaire de Toulouse
Toulouse, France
Fundación Iniciativa para las Neurociencias. Hospital Ruber Internacional.
Madrid, Spain
Queen Mary University of London
London, United Kingdom
Related Publications (3)
Hastings A, Cullinane P, Wrigley S, Revesz T, Morris HR, Dickson JC, Jaunmuktane Z, Warner TT, De Pablo-Fernandez E. Neuropathologic Validation and Diagnostic Accuracy of Presynaptic Dopaminergic Imaging in the Diagnosis of Parkinsonism. Neurology. 2024 Jun 11;102(11):e209453. doi: 10.1212/WNL.0000000000209453. Epub 2024 May 17.
PMID: 38759132BACKGROUNDHeinzel S, Berg D, Gasser T, Chen H, Yao C, Postuma RB; MDS Task Force on the Definition of Parkinson's Disease. Update of the MDS research criteria for prodromal Parkinson's disease. Mov Disord. 2019 Oct;34(10):1464-1470. doi: 10.1002/mds.27802. Epub 2019 Aug 14.
PMID: 31412427BACKGROUNDBerg D, Postuma RB, Adler CH, Bloem BR, Chan P, Dubois B, Gasser T, Goetz CG, Halliday G, Joseph L, Lang AE, Liepelt-Scarfone I, Litvan I, Marek K, Obeso J, Oertel W, Olanow CW, Poewe W, Stern M, Deuschl G. MDS research criteria for prodromal Parkinson's disease. Mov Disord. 2015 Oct;30(12):1600-11. doi: 10.1002/mds.26431.
PMID: 26474317BACKGROUND
Biospecimen
Blood samples will be collected at baseline for DNA analysis (polygenic risk score for Parkinson's disease)
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 1, 2026
First Posted
July 16, 2026
Study Start
July 1, 2026
Primary Completion (Estimated)
September 30, 2027
Study Completion (Estimated)
September 30, 2027
Last Updated
July 20, 2026
Record last verified: 2026-07
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- To be determined (after completion of the study and publication of the main study results).
- Access Criteria
- Qualified investigators will be able to access fully anonymised dataset according to ethical permissions through public repository.
After completion of the study and publication of results, study data for participants that specifically consented for this, will be made accessible in a public repository, after full anonymisation, to the research community following FAIR principles for non-commercial research purposes