Chest-CAD is a computer-assisted detection (CADe) software device designed as a concurrent reading aid to physicians. Chest-CAD uses machine learning techniques to identify, highlight, and categorize suspicious regions of interest (ROI) in adult chest X-rays. Any suspicious ROI identified by Chest-CAD is assigned to one of the following categories: Cardiac, Mediastinum/Hila, Lungs, Pleura, Bones, Soft Tissues, Hardware, or Other. 00852491008016
An interpretive software program intended to be used to analyse non-dental x-ray images (e.g., chest, mammograms, tomograms) to detect and localize suspected abnormalities (e.g., tumours, emphysema, tuberculosis, blunted costophrenic angle) and possibly provide results as clinically relevant tags. It typically utilizes artificial intelligence (AI) and deep learning techniques, and may be compatible with radiology information systems, data formats, and medical imaging software programs [e.g., picture archiving and communication system (PACS), digital imaging and communications in medicine (DICOM) format].