Deciphering musculoskeletal artificial intelligence for clinical applications: how do I get started?
Publication/Presentation Date
2-1-2022
Abstract
Artificial intelligence (AI) represents a broad category of algorithms for which deep learning is currently the most impactful. When electing to begin the process of building an adequate fundamental knowledge base allowing them to decipher machine learning research and algorithms, clinical musculoskeletal radiologists currently have few options to turn to. In this article, we provide an introduction to the vital terminology to understand, how to make sense of data splits and regularization, an introduction to the statistical analyses used in AI research, a primer on what deep learning can or cannot do, and a brief overview of clinical integration methods. Our goal is to improve the readers' understanding of this field.
Volume
51
Issue
2
First Page
271
Last Page
278
ISSN
1432-2161
Published In/Presented At
Mutasa, S., & Yi, P. H. (2022). Deciphering musculoskeletal artificial intelligence for clinical applications: how do I get started?. Skeletal radiology, 51(2), 271–278. https://doi.org/10.1007/s00256-021-03850-4
Disciplines
Diagnosis | Medicine and Health Sciences | Other Analytical, Diagnostic and Therapeutic Techniques and Equipment | Radiology
PubMedID
34191083
Department(s)
Department of Radiology and Diagnostic Medical Imaging
Document Type
Article