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Change in the Proportion of Correct Interpretations of Pulmonary Opacities
Sponsor: Universidad de la Sabana
Summary
This randomized crossover clinical trial will evaluate whether an artificial intelligence-based expert system improves the interpretation of chest radiographs by final-year medical students, rural physicians, and general practitioners with less than two years of clinical experience. Participants will interpret chest radiographs containing normal findings or pulmonary opacities classified as alveolar, interstitial, or mixed. Each participant will review the same set of radiographs twice: once without assistance from the expert system and once with assistance from the artificial intelligence system. The order of these two reading conditions will be randomly assigned, with a six-week interval between sessions to reduce memory effects. The main outcome will be the proportion of correct interpretations compared with a previously established reference standard based on radiologist interpretation supported by chest computed tomography findings. The study will also assess diagnostic confidence and agreement with the reference standard. This study does not involve treatment decisions or direct patient care. It is intended to determine whether artificial intelligence support may improve the accuracy and confidence of less-experienced physicians when interpreting pulmonary opacities on chest radiographs.
Official title: Change in the Proportion of Correct Interpretations of Pulmonary Opacities by General Practitioners Using an Expert System
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
50
Start Date
2026-07-01
Completion Date
2026-12
Last Updated
2026-08-04
Healthy Volunteers
Yes
Conditions
Interventions
Artificial intelligence expert system
Artificial intelligence-based expert system for computer-aided interpretation of chest radiographs. The system is an open-source deep-learning model that analyzes posteroanterior chest radiographs and reports the presence of pulmonary opacities. During the intervention phase, each participant interprets the same set of chest radiographs while the output of the expert system is displayed together with each image. Participants remain responsible for the final interpretation and record it on the study data form. The expert system is used only as a reading aid for study participants; it is not used for clinical care, and no diagnostic, treatment, or management decision for any patient is based on its output.
Locations (1)
Clínica Universidad de La Sabana
Chía, Cundinamarca, Colombia