Artificial intelligence and deep learning - Radiology's next frontier?

Journal: Clinical imaging
Published Date:

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.

Authors

  • Ray Cody Mayo
    The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1350, Houston, TX 77030, United States. Electronic address: RCMayo@mdanderson.org.
  • Jessica Leung
    The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1350, Houston, TX 77030, United States.