| Literature DB >> 29161580 |
Ray Cody Mayo1, Jessica Leung2.
Abstract
Tracing the use of computers in the radiology department from administrative functions through image acquisition, storage, and reporting, to early attempts at improved diagnosis, we begin to imagine possible new frontiers for their use in exam interpretation. Given their initially slow but ultimately substantial progress in the noninterpretive areas, we are left desiring and even expecting more in the interpretation realm. New technological advances may provide the next wave of progress and radiologists should be early adopters. Several potential applications are discussed and hopefully will serve to inspire future progress. Published by Elsevier Inc.Keywords: Artificial intelligence; Big data; Computer aided detection; Deep learning; Neural networks
Mesh:
Year: 2017 PMID: 29161580 DOI: 10.1016/j.clinimag.2017.11.007
Source DB: PubMed Journal: Clin Imaging ISSN: 0899-7071 Impact factor: 1.605