Artificial Intelligence in Radiology: What Is Its True Role at Present, and Where Is the Evidence?

Journal: Radiologic clinics of North America
Published Date:

Abstract

The integration of artificial intelligence (AI) in radiology has brought about substantial advancements and transformative potential in diagnostic imaging practices. This study presents an overview of the current research on the application of AI in radiology, highlighting key insights from recent studies and surveys. These recent studies have explored the expected impact of AI, encompassing machine learning and deep learning, on the work volume of diagnostic radiologists. The present and future role of AI in radiology holds great promise for enhancing diagnostic capabilities, improving workflow efficiency, and ultimately, advancing patient care.

Authors

  • Alireza Mohseni
    Johns Hopkins University School of Medicine, 600 N. Wolfe Street / Phipps 446, Baltimore, MD 21287, USA. Electronic address: amohsen4@jhmi.edu.
  • Elena Ghotbi
    From the Russell H. Morgan Department of Radiology and Radiological Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine, 601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging, Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY (J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, Mass (A.G.).
  • Foad Kazemi
    Johns Hopkins University School of Medicine, 600 N. Wolfe Street / Phipps 446, Baltimore, MD 21287, USA.
  • Amirali Shababi
    School of Medicine, Iran University of Medical Sciences, Hemat Highway next to Milad Tower 14535, Tehran, Iran.
  • Shayan Chashm Jahan
    Department of Computer Science, University of Maryland, 8125 Paint Branch Drive College Park, MD 20742, USA.
  • Anita Mohseni
    Azad University Tehran Medical Branch, Danesh, Shariati Street, Tehran, Iran 19395/1495.
  • Niloufar Shababi
    Johns Hopkins University School of Medicine, 600 N. Wolfe Street / Phipps 446, Baltimore, MD 21287, USA.