AI Assisted Detection of Chest X-Rays

Active, not recruitingOBSERVATIONAL
Enrollment

33

Participants

Timeline

Start Date

October 31, 2023

Primary Completion Date

October 31, 2024

Study Completion Date

June 30, 2025

Conditions
Pulmonary Nodules, SolitaryPulmonary Nodules, MultiplePulmonary ConsolidationPneumothoraxPneumothorax; AcuteAtelectasisPulmonary CalcificationCardiomegalyFibrosis LungPleural EffusionPleural Effusions, ChronicPneumoperitoneum
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~\- Review 500 chest X-rays and express a clinical opinion through a structured reporting template (multiple choice, no open text required).~Rest/washout period of 2 weeks.~Phase 2 - Time allowed: 2 weeks~\- Review 500 chest X-rays together with an AI report for each case and express your clinical opinion through the same structured reporting template used in Phase A."

OTHER

Ground truthing

Two consultant thoracic radiologists will independently review the images to establish the 'ground truth' findings on the CXRs, where a consensus is reached this will then be used as the reference standard. In the case of disagreement, a third senior thoracic 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

All Listed Sponsors
lead

Oxford University Hospitals NHS Trust

OTHER

NCT06075836 - AI Assisted Detection of Chest X-Rays | Biotech Hunter | Biotech Hunter