Cavernous Malformations and Artificial Intelligence: Machine Learning Applications

Authors

Benjamin K. Hendricks, Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, USA.Follow
Kavelin Rumalla, Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, USA.
Dimitri Benner, Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, USA.Follow
Michael T. Lawton, Department of Neurosurgery, c/o Neuroscience Publications, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, 350 West Thomas Road, Phoenix, AZ 85013, USA. Electronic address: Neuropub@barrowneuro.org.Follow

Document Type

Article

Abstract

Significant progress has been made in the use of artificial intelligence (AI) in clinical medicine over the past decade, but the clinical development of AI faces challenges. Although the spectrum of AI applications is growing within clinical medicine, including in subspecialty neurosurgery, applications focused on cerebral cavernous malformations (CCMs) are relatively scarce. The recently introduced brainstem cavernous malformation (BSCM) grading scale, approach triangles, and safe entry zone systems provide a discrete framework to explore future machine learning (ML) applications of AI systems. Given the immense scalability of these models, significant resources will likely be allocated to pursuing these future efforts.

Medical Subject Headings

Artificial Intelligence; Humans; Machine Learning

Publication Date

10-1-2022

Publication Title

Neurosurgery clinics of North America

E-ISSN

1558-1349

Volume

33

Issue

4

First Page

461

Last Page

467

PubMed ID

36229133

Digital Object Identifier (DOI)

10.1016/j.nec.2022.05.007

Recommended Citation

Hendricks, Benjamin K.; Rumalla, Kavelin; Benner, Dimitri; and Lawton, Michael T., "Cavernous Malformations and Artificial Intelligence: Machine Learning Applications" (2022). Neurosurgery. 1783.
https://scholar.barrowneuro.org/neurosurgery/1783