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.
Original language | English (US) |
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Pages (from-to) | 87-88 |
Number of pages | 2 |
Journal | Clinical Imaging |
Volume | 49 |
DOIs | |
State | Published - May 2018 |
Keywords
- Artificial intelligence
- Big data
- Computer aided detection
- Deep learning
- Neural networks
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging