Literature DB >> 34931864

Using AI to Improve Radiographic Fracture Detection.

Thomas M Link1, Valentina Pedoia1.   

Abstract

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Year:  2021        PMID： 34931864      PMCID： PMC8893176          DOI： 10.1148/radiol.212364

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


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  10 in total

Review 1.  The insidious problem of fatigue in medical imaging practice.

Authors:  Bruce I Reiner; Elizabeth Krupinski
Journal:  J Digit Imaging       Date:  2012-02       Impact factor: 4.056

Review 2.  Cognitive and system factors contributing to diagnostic errors in radiology.

Authors:  Cindy S Lee; Paul G Nagy; Sallie J Weaver; David E Newman-Toker
Journal:  AJR Am J Roentgenol       Date:  2013-09       Impact factor: 3.959

3.  MRI and CT of insufficiency fractures of the pelvis and the proximal femur.

Authors:  Miguel C Cabarrus; Avanti Ambekar; Ying Lu; Thomas M Link
Journal:  AJR Am J Roentgenol       Date:  2008-10       Impact factor: 3.959

4.  Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study.

Authors:  Loïc Duron; Alexis Ducarouge; André Gillibert; Julia Lainé; Christian Allouche; Nicolas Cherel; Zekun Zhang; Nicolas Nitche; Elise Lacave; Aloïs Pourchot; Adrien Felter; Louis Lassalle; Nor-Eddine Regnard; Antoine Feydy
Journal:  Radiology       Date:  2021-05-04       Impact factor: 11.105

5.  Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence.

Authors:  Ali Guermazi; Chadi Tannoury; Andrew J Kompel; Akira M Murakami; Alexis Ducarouge; André Gillibert; Xinning Li; Antoine Tournier; Youmna Lahoud; Mohamed Jarraya; Elise Lacave; Hamza Rahimi; Aloïs Pourchot; Robert L Parisien; Alexander C Merritt; Douglas Comeau; Nor-Eddine Regnard; Daichi Hayashi
Journal:  Radiology       Date:  2021-12-21       Impact factor: 11.105

6.  Automatic detection and classification of rib fractures based on patients' CT images and clinical information via convolutional neural network.

Authors:  Qing-Qing Zhou; Wen Tang; Jiashuo Wang; Zhang-Chun Hu; Zi-Yi Xia; Rongguo Zhang; Xinyi Fan; Wei Yong; Xindao Yin; Bing Zhang; Hong Zhang
Journal:  Eur Radiol       Date:  2020-11-17       Impact factor: 5.315

7.  Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning.

Authors:  Justin D Krogue; Kaiyang V Cheng; Kevin M Hwang; Paul Toogood; Eric G Meinberg; Erik J Geiger; Musa Zaid; Kevin C McGill; Rina Patel; Jae Ho Sohn; Alexandra Wright; Bryan F Darger; Kevin A Padrez; Eugene Ozhinsky; Sharmila Majumdar; Valentina Pedoia
Journal:  Radiol Artif Intell       Date:  2020-03-25

8.  Is Deep Learning On Par with Human Observers for Detection of Radiographically Visible and Occult Fractures of the Scaphoid?

Authors:  David W G Langerhuizen; Anne Eva J Bulstra; Stein J Janssen; David Ring; Gino M M J Kerkhoffs; Ruurd L Jaarsma; Job N Doornberg
Journal:  Clin Orthop Relat Res       Date:  2020-11       Impact factor: 4.755

9.  Radiologic discrepancies in diagnosis of fractures in a Dutch teaching emergency department: a retrospective analysis.

Authors:  Laura Mattijssen-Horstink; Judith Joëlle Langeraar; Gert Jan Mauritz; William van der Stappen; Maarten Baggelaar; Edward Camillus Thwan Han Tan
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2020-05-13       Impact factor: 2.953

Review 10.  Traumatic fractures in adults: missed diagnosis on plain radiographs in the Emergency Department.

Authors:  Antonio Pinto; Daniela Berritto; Anna Russo; Federica Riccitiello; Martina Caruso; Maria Paola Belfiore; Vito Roberto Papapietro; Marina Carotti; Fabio Pinto; Andrea Giovagnoni; Luigia Romano; Roberto Grassi
Journal:  Acta Biomed       Date:  2018-01-19
  10 in total

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