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Re: ‘Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists’

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References

  1. Nguyen T, Maarek R, Hermann A et al (2022) Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists. Pediatr Radiol 52:2215–2226

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  2. Hayashi D, Kompel AJ, Ventre J et al (2022) Automated detection of acute appendicular skeletal fractures in pediatric patients using deep learning. Skeletal Radiol 51:2129–2139

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Authors and Affiliations

  1. Singleton Department of Radiology, Texas Children’s Hospital, 6701 Fannin St., TX 77030, Houston, USA

    Marla B. K. Sammer & Andrew C. Sher

  2. Department of Radiology, Baylor College of Medicine, Houston, TX, USA

    Marla B. K. Sammer & Andrew C. Sher

  3. Department of Radiology, Mercy Children’s Hospital, St. Louis, MO, USA

    Shannon G. Farmakis

  4. West County Radiological Group, St. Louis, MO, USA

    Shannon G. Farmakis

  5. Department of Pediatric Radiology, Samson Assuta Ashdod University Hospital, Ashdod, Israel

    Benjamin H. Taragin

  6. Medical School for International Health, Ben Gurion University, Be’er Sheva, Israel

    Benjamin H. Taragin

  7. Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA

    Alexander J. Towbin

  8. Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA

    Alexander J. Towbin

Authors
  1. Marla B. K. Sammer
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  2. Shannon G. Farmakis
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  3. Andrew C. Sher
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  4. Benjamin H. Taragin
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  5. Alexander J. Towbin
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Corresponding author

Correspondence to Marla B. K. Sammer.

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Conflicts of interest

Marla Sammer reports in-kind research support from Siemens Medical Systems U.S.A. Inc. Alexander Towbin reports author royalties from Elsevier, travel support from KLAS and Merative, and grant support from the Cystic Fibrosis Foundation. He is also a consultant with Applied Radiology.

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Sammer, M.B.K., Farmakis, S.G., Sher, A.C. et al. Re: ‘Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists’. Pediatr Radiol 53, 339–340 (2023). https://doi.org/10.1007/s00247-022-05553-x

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  • DOI: https://doi.org/10.1007/s00247-022-05553-x

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