hChestXR

hChestXR is a deep learning-based Computer-Aided Detection (CADe) software device designed to detect the presence and location of nine different pathologies, including atelectasis, consolidation, pleural effusion, nodule-mass, pneumothorax, cardiothoracic ratio abnormalities, costal fractures, lung opacity, and edema. It functions as a simultaneous reading tool for physicians, enabling the evaluation of chest X-rays to detect, identify, characterize, and locate suspected abnormal radiological findings.