Diverse Applications of Artificial Intelligence in Neuroradiology

Overview

Journal Neuroimaging Clin N Am

Specialties Neurology
Radiology

Date 2020 Oct 11

PMID 33039000

Citations 13

Authors

Michael Tran Duong

Andreas M Rauschecker

Suyash Mohan

Affiliations

Soon will be listed here.

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."

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