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Developing a Training Web Application for Improving the COVID-19 Diagnostic Accuracy on Chest X-ray
P Menéndez Fernández-Miranda1,2, P Sanz Bellón3,4, A Pérez Del Barrio3,4
1Departamento de Radiología, Hospital Universitario "Marqués de Valdecilla", Santander, Spain. pablomenendezfernandezmiranda@gmail.com.
Journal of Digital Imaging
|March 9, 2021
Summary
This study introduces COVID-19 TRAINING, a free web application designed to help medical professionals improve their skills in evaluating chest X-rays for coronavirus disease 2019 (COVID-19) diagnosis.
Area of Science:
- Medical Imaging
- Infectious Diseases
- Artificial Intelligence in Medicine
Background:
- The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, rapidly spread globally.
- Accurate interpretation of chest X-rays (CXR) is crucial for managing COVID-19 patients, but can be challenging.
- Existing training methods for CXR interpretation may not adequately prepare clinicians for COVID-19 specific findings.
Purpose of the Study:
- To develop and evaluate a free web-based application, COVID-19 TRAINING, for enhancing the diagnostic accuracy of healthcare professionals in interpreting COVID-19 related chest X-rays.
- To provide a structured training environment with immediate feedback on diagnostic performance metrics.
- To assess the effectiveness of the application in improving user diagnostic accuracy, sensitivity, and specificity.
Main Methods:
- Development of a web application, "COVID-19 TRAINING", featuring 196 chest X-rays categorized as non-pathological, COVID-19 positive, or other pathologies.
- Users engaged in diagnostic training by classifying CXR images and received performance feedback.
- Diagnostic accuracy, sensitivity, specificity, and global accuracy were calculated for each user.
- Statistical analysis was performed to correlate user performance metrics and engagement levels.
Main Results:
- The COVID-19 TRAINING application demonstrated average user diagnostic accuracy values of 0.72 for sensitivity, 0.64 for specificity, and 0.68 for global accuracy.
- A significant inverse relationship was observed between sensitivity and specificity (p < 0.0001).
- Higher user engagement, indicated by more submitted answers, correlated with improved overall diagnostic accuracy (p = 0.0002).
Conclusions:
- The COVID-19 TRAINING application serves as an effective and accessible tool for medical professionals to acquire and refine skills in interpreting chest X-rays for COVID-19.
- The application offers a novel method for evaluating diagnostic performance based on objective accuracy metrics.
- This platform facilitates efficient data collection for research on diagnostic accuracy in medical professionals during public health crises.
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