Artificial Intelligence in Diagnostic Imaging and Radiation Therapy.

Journal: Radiologic technology
Published Date:

Abstract

Artificial intelligence (AI) is a rapidly growing profession that shows continued promise for diagnostic imaging in various disciplines, including dermatology and pathology. The benefits of AI, however, extend beyond the imaging department as radiation oncology departments begin to automate labor-intensive treatment planning processes. Given the increase in interest and research concerning AI, radiologic technologists must become familiar with AI terminology, current and potential applications, challenges, and patient perspectives.

Authors

  • Brandon Hirsch
    Brandon Hirsch, MS, R.T.(R)(CT)(T), CMD, is assistant professor of radiologic science for Southern Illinois University in Carbondale.