Systematic review of artificial intelligence development and evaluation for MRI diagnosis of knee ligament or meniscus tears.

Journal: Skeletal radiology
PMID: 37584757

Abstract

OBJECTIVE: The purpose of this systematic review was to summarize the results of original research studies evaluating the characteristics and performance of deep learning models for detection of knee ligament and meniscus tears on MRI.

Authors

  • Samantha M Santomartino
    From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Room 1172, Baltimore, MD 21201.
  • Justin Kung
    Department of Orthopaedic Surgery, University of South Carolina, Columbia, SC, USA.
  • Paul H Yi
    The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland. Electronic address: Pyi10@jhmi.edu.

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