Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model.

Journal: JAMA network open
Published Date:

Abstract

IMPORTANCE: Deep learning has the potential to augment clinician performance in medical imaging interpretation and reduce time to diagnosis through automated segmentation. Few studies to date have explored this topic.

Authors

  • Allison Park
    Department of Computer Science, Stanford University, Stanford, California, United States of America.
  • Chris Chute
    Department of Computer Science, Stanford University, Stanford, California.
  • Pranav Rajpurkar
    Harvard Medical School, Department of Biomedical Informatics, Cambridge, MA, 02115, US.
  • Joe Lou
    Department of Computer Science, Stanford University, Stanford, California.
  • Robyn L Ball
    From the Department of Radiology, Stanford University School of Medicine, Stanford University Medical Center, 725 Welch Rd, Room 1675, Stanford, Calif 94305-5913 (M.C.C., N.M., D.B.L., C.P.L., M.P.L.); Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, Calif (R.L.B., L.Y.); Department of Bioinformatics, University of Utah Medical Center, Salt Lake City, Utah (B.E.C.); and Department of Radiology, Duke University Medical Center, Durham, NC (T.J.A.).
  • Katie Shpanskaya
    Department of Radiology, Stanford University, Stanford, California, United States of America.
  • Rashad Jabarkheel
    School of Medicine, Stanford University, Stanford, California.
  • Lily H Kim
    School of Medicine, Stanford University, Stanford, California.
  • Emily McKenna
    School of Medicine, Department of Radiology, Stanford University, Stanford, California.
  • Joe Tseng
    School of Medicine, Department of Radiology, Stanford University, Stanford, California.
  • Jason Ni
    School of Medicine, Department of Radiology, Stanford University, Stanford, California.
  • Fidaa Wishah
    School of Medicine, Department of Radiology, Stanford University, Stanford, California.
  • Fred Wittber
    School of Medicine, Department of Radiology, Stanford University, Stanford, California.
  • David S Hong
    School of Medicine, Department of Neurosurgery, Stanford University, Stanford, California.
  • Thomas J Wilson
    School of Medicine, Department of Neurosurgery, Stanford University, Stanford, California.
  • Safwan Halabi
    Department of Radiology, Stanford University, Palo Alto, California.
  • Sanjay Basu
    Center for Primary Care and Outcomes Research, Center for Population Health Sciences, Departments of Medicine and Health Research and Policy, Stanford University, Palo Alto, CA basus@stanford.edu.
  • Bhavik N Patel
    Department of Radiology, Stanford University, Stanford, California, United States of America.
  • Matthew P Lungren
  • Andrew Y Ng
  • Kristen W Yeom
    Department of Radiology, Stanford University, Stanford, California, United States of America.