AI Assisted Detection of Fractures on X-Rays (FRACT-AI)

Active, not recruitingOBSERVATIONAL
Enrollment

21

Participants

Timeline

Start Date

February 8, 2024

Primary Completion Date

October 31, 2024

Study Completion Date

June 30, 2025

Conditions
FractureBone FractureDislocationFracture MultipleFractures, ClosedFractures, Open
Interventions
OTHER

Cases reading

"The reading will be done remotely via the Report and Image Quality Control site (www.RAIQC.com), an online platform allowing medical imaging viewing and reporting. Participants can work from any location, but the work must be done from a computer with internet access. For avoidance of doubt, the work cannot be performed from a phone or tablet.~The project is divided into two phases and participants are required to complete both phases. The estimated total involvement in the project is up to 20-24 hours.~Phase 1: Time allowed: 2 weeks~\- Participants must review 500 X-rays and express a clinical opinion through a structured reporting template (multiple choice, no open text required).~Rest/washout period - Time allowed: 4 weeks, to mitigate the effects of recall bias.~Phase 2 - Time allowed: 2 weeks~\- Review 500 X-rays together with an AI report for each case and express their clinical opinion through the same structured reporting template used in Phase 1."

OTHER

Ground truthing

Two consultant musculoskeletal radiologists will independently review the images to establish the 'ground truth' findings on the XRs, where a consensus is reached this will then be used as the reference standard. In the case of disagreement, a third senior musculoskeletal radiologist's opinion (\>20 years experience) will undertake arbitration. A difficulty score will be assigned to each abnormality by the ground truthers using a 4-point Likert scale (1 being easy/obvious to 4 being hard/poorly visualised).

Trial Locations (1)

OX3 9DU

Oxford University Hospitals NHS Foundation Trust, Oxford

Sponsors

Collaborators (1)

All Listed Sponsors
collaborator

Gleamer

INDUSTRY

lead

Oxford University Hospitals NHS Trust

OTHER

NCT06130397 - AI Assisted Detection of Fractures on X-Rays (FRACT-AI) | Biotech Hunter | Biotech Hunter