Deep Learning Algorithms to Detect Fractures: Systematic Review Shows Promising Results but Many Limitations

HomeRadiologyVol. 304, No. 1 PreviousNext Reviews and CommentaryEditorialDeep Learning Algorithms to Detect Fractures: Systematic Review Shows Promising Results but Many LimitationsJérémie F. Cohen , Matthew D. F. McInnesJérémie F. Cohen , Matthew D. F. McInnesAuthor AffiliationsFrom the Department of Pediatrics and Inserm UMR 1153 (Centre of Research in Epidemiology and Statistics), Necker-Enfants Malades Hospital, Assistance Publique-Hôpitaux de Paris, Université de Paris, 149 rue de Sèvres 75015 Paris, France (J.F.C.); and University of Ottawa Department of Radiology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada (M.D.F.M.).Address correspondence to J.F.C. (e-mail: [email protected]).Jérémie F. Cohen Matthew D. F. McInnesPublished Online:Mar 29 2022https://doi.org/10.1148/radiol.212966MoreSectionsFull textPDF ToolsImage ViewerAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In References1. Kuo RYL, Harrison C, Curran TA, et al. Artificial intelligence in fracture detection: a systematic review and meta-analysis. Radiology 2022;304(1):50–62. Link, Google Scholar2. McInnes MDF, Moher D, Thombs BD, et al. Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies: The PRISMA-DTA Statement. JAMA 2018;319(4):388–396 [Published correction appears in JAMA 2019;322(20):2026]. Crossref, Medline, Google Scholar3. Cheng CT, Chen CC, Cheng FJ, et al. A Human-Algorithm Integration System for Hip Fracture Detection on Plain Radiography: System Development and Validation Study. JMIR Med Inform 2020;8(11):e19416. Crossref, Medline, Google Scholar4. Whiting P, Rutjes AW, Reitsma JB, Glas AS, Bossuyt PM, Kleijnen J. Sources of variation and bias in studies of diagnostic accuracy: a systematic review. Ann Intern Med 2004;140(3):189–202. Crossref, Medline, Google Scholar5. Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement. Ann Intern Med 2015;162(1):55–63. Crossref, Medline, Google Scholar6. Mongan J, Moy L, Kahn CE Jr. Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers. Radiol Artif Intell 2020;2(2):e200029. Link, Google Scholar7. Aggarwal R, Sounderajah V, Martin G, et al. Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis. NPJ Digit Med 2021;4(1):65. Crossref, Medline, Google ScholarArticle HistoryReceived: Nov 22 2021Revision requested: Dec 2 2021Revision received: Dec 7 2021Accepted: Dec 8 2021Published online: Mar 29 2022Published in print: July 2022 FiguresReferencesRelatedDetailsAccompanying This ArticleArtificial Intelligence in Fracture Detection: A Systematic Review and Meta-AnalysisMar 29 2022RadiologyRecommended Articles Point-of-Care Bone Age Evaluation: The Increasing Role of US in Resource-limited PopulationsRadiology2020Volume: 296Issue: 1pp. 170-171Convolutional Neural Networks for Automated Fracture Detection and Localization on Wrist RadiographsRadiology: Artificial Intelligence2019Volume: 1Issue: 1Identification of Vertebral Fractures by Convolutional Neural Networks to Predict Nonvertebral and Hip Fractures: A Registry-based Cohort Study of Dual X-ray AbsorptiometryRadiology2019Volume: 293Issue: 2pp. 405-411Radiologist-level Scaphoid Fracture Detection: Next Steps for Clinical ApplicationRadiology: Artificial Intelligence2021Volume: 3Issue: 4Binomial Classification of Pediatric Elbow Fractures Using a Deep Learning Multiview Approach Emulating Radiologist Decision MakingRadiology: Artificial Intelligence2019Volume: 1Issue: 1See More RSNA Education Exhibits Introduction to Artificial Intelligence and Big Data Research in Chest RadiologyDigital Posters2019Seeing Through the Eyes (and Visual Cortex) of a Machine: Convolutional Neural Networks at the Forefront of Machine Intelligence in Medical ImagingDigital Posters2018Cracking the Enigma: A Systematic Imaging Approach to Fracture Non-UnionDigital Posters2020 RSNA Case Collection Atypical insufficiency fracture RSNA Case Collection2020Pediatric distal forearm fracturesRSNA Case Collection2020Tillaux FractureRSNA Case Collection2021 Vol. 304, No. 1 Metrics Altmetric Score PDF download