Diverse Applications of Artificial Intelligence in Neuroradiology

Neuroimaging Clin N Am. 2020 Nov;30(4):505-516. doi: 10.1016/j.nic.2020.07.003. Epub 2020 Sep 17.

Abstract

Recent advances in artificial intelligence (AI) and deep learning (DL) hold promise to augment neuroimaging diagnosis for patients with brain tumors and stroke. Here, the authors review the diverse landscape of emerging neuroimaging applications of AI, including workflow optimization, lesion segmentation, and precision education. Given the many modalities used in diagnosing neurologic diseases, AI may be deployed to integrate across modalities (MR imaging, computed tomography, PET, electroencephalography, clinical and laboratory findings), facilitate crosstalk among specialists, and potentially improve diagnosis in patients with trauma, multiple sclerosis, epilepsy, and neurodegeneration. Together, there are myriad applications of AI for neuroradiology."

Keywords: Artificial intelligence; Deep learning; Epilepsy; Multiple sclerosis; Neural network; Neurodegeneration; Neuroradiology; Trauma.

Publication types

  • Review

MeSH terms

  • Artificial Intelligence*
  • Brain / diagnostic imaging
  • Brain Diseases / diagnostic imaging*
  • Diagnostic Imaging / methods*
  • Humans
  • Image Interpretation, Computer-Assisted / methods*
  • Neuroimaging