CADx

CADx refers to Computer-Aided Diagnosis. It is a field within medical imaging that utilizes computer algorithms to assist physicians in the detection and interpretation of diseases. These systems analyze medical images, such as X-rays, CT scans, and MRIs, to identify potential abnormalities that might be missed by the human eye or to provide quantitative measurements that support a diagnosis. The goal of CADx is not to replace radiologists or other medical professionals but to act as a "second reader" or a tool to enhance diagnostic accuracy and efficiency. CADx systems can be trained on large datasets of annotated images to recognize patterns associated with various conditions like cancerous tumors, fractures, or lesions. The output from a CADx system typically highlights suspicious regions in an image or provides a probability score for the presence of a particular disease. While CADx has shown promise in improving diagnostic performance, its integration into clinical practice is ongoing, and continuous research and validation are crucial for its widespread adoption and effectiveness.