Diagnosis of knee meniscal injuries using artificial intelligence: A systematic review and meta-analysis of diagnostic performance.

Journal: PloS one
Published Date: Jun 24, 2025

Abstract

AIM OF THE STUDY: The aim was to systematically review the literature and perform a meta-analysis to estimate the performance of artificial intelligence (AI) algorithms in detecting meniscal injuries.

Authors

  • Soheil Mohammadi
    School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: soheil.mhm@gmail.com.
  • Ali Jahanshahi
    Faculty of Medicine, Guilan University of Medical Sciences, Rasht, Iran. Electronic address: alijahanshahi@outlook.com.
  • Mohammad Shahrabi Farahani
    Medical Students Research Committee, Shahed University, Tehran, Iran. Electronic address: mfarahani55401@gmail.com.
  • Mohammad Amin Salehi
    School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: mohamsa@gmail.com.
  • Negin Frounchi
    Kidney Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Ali Guermazi
    Department of Radiology, Boston University School of Medicine, Boston, MA, 02118, USA.

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