How AI May Transform Musculoskeletal Imaging. Review uri icon

Overview

abstract

  • While musculoskeletal imaging volumes are increasing, there is a relative shortage of subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence (AI) be the solution? For AI to be the solution, the wide implementation of AI-supported data acquisition methods in clinical practice requires establishing trusted and reliable results. This implementation will demand close collaboration between core AI researchers and clinical radiologists. Upon successful clinical implementation, a wide variety of AI-based tools can improve the musculoskeletal radiologist's workflow by triaging imaging examinations, helping with image interpretation, and decreasing the reporting time. Additional AI applications may also be helpful for business, education, and research purposes if successfully integrated into the daily practice of musculoskeletal radiology. The question is not whether AI will replace radiologists, but rather how musculoskeletal radiologists can take advantage of AI to enhance their expert capabilities.

publication date

  • January 1, 2024

Research

keywords

  • Artificial Intelligence
  • Commerce

Identity

PubMed Central ID

  • PMC10831478

Scopus Document Identifier

  • 85181544151

Digital Object Identifier (DOI)

  • 10.1148/radiol.230764

PubMed ID

  • 38165245

Additional Document Info

volume

  • 310

issue

  • 1