Volume 132, Issue 9 pp. 1698-1700

Rapid Communication

Standardizing Machine Learning Manuscript Reporting in Otolaryngology-Head & Neck Surgery

Matthew G. Crowson MD, MPA, MASc, FRCSC,

Corresponding Author

Matthew G. Crowson MD, MPA, MASc, FRCSC

[email protected]

orcid.org/0000-0001-9950-0985

Department of Otolaryngology-Head & Neck Surgery, Mass Eye & Ear, Boston, Massachusetts, U.S.A.

Department of Otolaryngology-Head & Neck Surgery, Harvard Medical School, Boston, Massachusetts, U.S.A.

Send correspondence to Matthew Gordon Crowson, MD, Department of Otolaryngology-Head & Neck Surgery, Massachusetts Eye and Ear, 243 Charles Street, Boston, MA 02114.

E-mail: [email protected]

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Anaïs Rameau MD, MPhil, MSc, MS,

Anaïs Rameau MD, MPhil, MSc, MS

orcid.org/0000-0003-1543-2634

Sean Parker Institute for the Voice, Department of Otolaryngology-Head & Neck Surgery, Weill Cornell School of Medicine, New York, New York, U.S.A.

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Matthew G. Crowson MD, MPA, MASc, FRCSC,

Corresponding Author

Matthew G. Crowson MD, MPA, MASc, FRCSC

[email protected]

orcid.org/0000-0001-9950-0985

Department of Otolaryngology-Head & Neck Surgery, Mass Eye & Ear, Boston, Massachusetts, U.S.A.

Department of Otolaryngology-Head & Neck Surgery, Harvard Medical School, Boston, Massachusetts, U.S.A.

Send correspondence to Matthew Gordon Crowson, MD, Department of Otolaryngology-Head & Neck Surgery, Massachusetts Eye and Ear, 243 Charles Street, Boston, MA 02114.

E-mail: [email protected]

Search for more papers by this author

Anaïs Rameau MD, MPhil, MSc, MS,

Anaïs Rameau MD, MPhil, MSc, MS

orcid.org/0000-0003-1543-2634

Sean Parker Institute for the Voice, Department of Otolaryngology-Head & Neck Surgery, Weill Cornell School of Medicine, New York, New York, U.S.A.

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First published: 24 June 2022

https://doi.org/10.1002/lary.30264

Citations: 1

Editor's Note: This Manuscript was accepted for publication on 6 June 2022.

Anaïs Rameau is medical advisor to Perceptron Health, Inc.

The authors have no funding, financial relationships, or conflicts of interest to disclose.

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Abstract

This rapid communication provides a summary of existing reporting guidelines for machine learning in peer-reviewed biomedical journals. It presents recommendations for their implementation in Otolaryngology-Head & Neck Surgery publications. Laryngoscope, 132:1698–1700, 2022

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Volume132, Issue9

September 2022

Pages 1698-1700

Standardizing Machine Learning Manuscript Reporting in Otolaryngology-Head & Neck Surgery

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