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Plastic and Reconstructive Surgery, Global Open
(Jun 2024)
Machine Learning for Automatic Detection of Velopharyngeal Dysfunction: Proof of Concept
Nicholas O’Sick, DO,
Claiborne Lucas, MD,
Ricardo Torres-Guzman, MD,
Andrew J. James,
Scott Corlew, MPH, MD,
Amy Stone, MS, CCC-SLP,
Maria E. Powell, PhD, CCC-SLP,
Michael Golinko, MA, MD,
Matthew E. Pontell, MD
Affiliations
Nicholas O’Sick, DO
1 Department of Plastic Surgery, Vanderbilt University Medical Center, Nashville, TN
Claiborne Lucas, MD
2 Department of General Surgery, Prisma Health Greenville, Greenville, SC
Ricardo Torres-Guzman, MD
1 Department of Plastic Surgery, Vanderbilt University Medical Center, Nashville, TN
Andrew J. James
1 Department of Plastic Surgery, Vanderbilt University Medical Center, Nashville, TN
Scott Corlew, MPH, MD
3 Program in Global Surgery and Social Change, Harvard Medical School, Boston Children’s Hospital, Boston, MA
Amy Stone, MS, CCC-SLP
4 Department of Otolaryngology—Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN
Maria E. Powell, PhD, CCC-SLP
4 Department of Otolaryngology—Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN
Michael Golinko, MA, MD
1 Department of Plastic Surgery, Vanderbilt University Medical Center, Nashville, TN
Matthew E. Pontell, MD
1 Department of Plastic Surgery, Vanderbilt University Medical Center, Nashville, TN
DOI
https://doi.org/10.1097/01.GOX.0001024432.49195.f3
Journal volume & issue
Vol. 12, no. S6
pp. 6 – 7
Abstract
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No abstracts available.
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