Detection, Diagnosis, and Localization of Pediatric Pneumonia Based on Pattern Detection in Chest Radiographic Images
Prognostic and Predictive Gene Panels
Detection, Diagnosis and Localization of Pediatric Pneumonia Based on Pattern Detection in Chest Radiographic Images
We have developed an ML-based decision support system to detect pneumonia in pediatric chest x-ray radiographs to expedite accurate diagnosis of the pathology.
Our results suggest that a suite of targeted ML tools can be used to support multi-faceted diagnosis of childhood pneumonia in resource-constrained settings, compensating for the shortage of expensive equipment and specialists. Further research is necessary to determine the feasibility of applying this algorithm in a clinical setting and to test improved care and outcomes compared with current assessment of the pediatric community-acquired pneumonia.
Read the paper here