Diverse Applications of Artificial Intelligence in Neuroradiology.

Clicks: 247
ID: 128174
2020
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."
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duong2020diverseneuroimaging Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Duong, Michael Tran;Rauschecker, Andreas M;Mohan, Suyash;
Journal neuroimaging clinics of north america
Year 2020
DOI S1052-5149(20)30053-8
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