Computer-aided detection and diagnosis at the start of the third millennium.
Computer-aided diagnosis has been under development for more than 3 decades. The rate of progress appears exponential, with either recent approval or pending approval for devices focusing on mammography, chest radiographs, and chest CT. Related technologies improve diagnosis for many other types of medical images including virtual colonography, vascular imaging, as well as automated quantitation of image-derived metrics. A variety of techniques are currently employed with success, likely reflecting the variety of imagery used, as well as the variety of tasks. Most areas of medical imaging have had efforts at computer assistance, and some have even received FDA approval and can be reimbursed. We anticipate that the rapid advance of these technologies will continue, and that application will broaden to cover much of medical imaging. Acceptance of, and integration of computer-aided diagnosis technology with the electronic radiology practice is a current challenge. These challenges will be overcome, and we expect that computer-aided diagnosis will be routinely applied to medical images.
Erickson
Bradley J
BJ
Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA. bje@mayo.edu
Bartholmai
Brian
B
D023881:Colonography, Computed Tomographic; D003936:Diagnosis, Computer-Assisted / Q000639:trends; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008327:Mammography; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated; D013902:Radiography, Thoracic; D013382:Subtraction Technique; D014057:Tomography, X-Ray Computed