How Cognitive Machines Can Augment Medical Imaging.

Journal: AJR. American journal of roentgenology
Published Date:

Abstract

OBJECTIVE: Artificial intelligence (AI) neural networks rapidly convert disparate facts and data into highly predictive analytic models. Machine learning maps image-patient phenotype correlations opaque to standard statistics. Deep learning performs accurate image-derived tissue characterization and can generate virtual CT images from MRI datasets. Natural language processing reads medical literature and efficiently reconfigures years of PACS and electronic medical record information.

Authors

  • D Douglas Miller
    New York Medical College, Valhalla. Electronic address: ddouglasmiller1@gmail.com.
  • Eric W Brown
    Foundational Innovations, IBM Watson Health, Yorktown Heights, NY.