AI could revolutionize thumb arthritis diagnosis and monitoring
NCT ID NCT07148349
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study uses artificial intelligence to analyze X-rays and CT scans of the thumb joint affected by osteoarthritis. Researchers aim to develop automated tools to classify disease severity, detect implant loosening, and create 3D models for better surgical planning. The study involves 2500 patients from a Swiss clinic and is focused on improving assessment methods, not testing a new treatment.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to more accurate and automated tools for diagnosing thumb osteoarthritis and monitoring implants, improving surgical planning.
- What could go wrong
- This is an early-stage, retrospective study using existing data. The AI tools are for research only and not yet ready for clinical use. They may not work as well in real-world settings.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 2,500 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Sep 2025
- Expected to finish
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Aug 2028
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
The study population consists of patients treated at Schulthess Klinik Zürich with available radiographic imaging of the TMC joint. Data are derived from two cohorts: (1) patients enrolled in the TMC arthroplasty registry (BASEC number: 2019-02096) who received a Touch implant since 2018, and (2) patients with other wrist-related conditions requiring radiographs in which the TMC joint is clearly visible. The combined cohorts provide a balanced representation across the spectrum of TMC joint OA severity, from healthy joints to end-stage disease.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion criteria: Patients will be included in the study if they have provided written general consent for the use of their clinical data and meet the requirements of one of the following two groups: TMC OA group: • Patients who received a Touch implant for TMC joint arthroplasty and are documented in our clinical registry Other clinical conditions: • Patients who underwent radiographic imaging for one of the following conditions, with a clearly visible TMC joint, for example: Distal radius fracture, carpal fracture, finger dislocation, or similar. Exclusion Criteria: The exclusion criteria are defined based on the two inclusion groups: TMC OA group: * Patients with posttraumatic OA. * Patients with rheumatoid arthritis. Other clinical conditions: * Eaton Littler score higher than one. * Prior surgery affecting the trapezium or the first metacarpal. * Clinical condition resulting in abnormal TMC joint morphology. Furthermore, patients will also be excluded if they revoke their consent in writing or via verbal withdrawal.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Schulthess Klinik
Zurich, Canton of Zurich, 8008, Switzerland
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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