TY - JOUR
T1 - Using Facial Recognition Tools for Health Assessment
AU - Boczar, Daniel
AU - Avila, Francisco R.
AU - Carter, Rickey E.
AU - Moore, Pamela A.
AU - Giardi, Davide
AU - Guliyeva, Gunel
AU - Bruce, Charles J.
AU - McLeod, Christopher J.
AU - Forte, Antonio Jorge
N1 - Publisher Copyright:
© 2021 Lippincott Williams and Wilkins. All rights reserved.
PY - 2021/4
Y1 - 2021/4
N2 - The number of applications for facial recognition technology is increasing due to the improvement in image quality, artificial intelligence, and computer processing power that has occurred during the last decades. Algorithms can be used to convert facial anthropometric landmarks into a computer representation, which can be used to help identify nonverbal information about an individual's health status. This article discusses the potential ways a facial recognition tool can perform a health assessment. Because facial attributes may be considered biometric data, clinicians should be informed about the clinical, ethical, and legal issues associated with its use.
AB - The number of applications for facial recognition technology is increasing due to the improvement in image quality, artificial intelligence, and computer processing power that has occurred during the last decades. Algorithms can be used to convert facial anthropometric landmarks into a computer representation, which can be used to help identify nonverbal information about an individual's health status. This article discusses the potential ways a facial recognition tool can perform a health assessment. Because facial attributes may be considered biometric data, clinicians should be informed about the clinical, ethical, and legal issues associated with its use.
UR - http://www.scopus.com/inward/record.url?scp=85106929849&partnerID=8YFLogxK
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U2 - 10.1097/PSN.0000000000000357
DO - 10.1097/PSN.0000000000000357
M3 - Article
C2 - 34033638
AN - SCOPUS:85106929849
SN - 0741-5206
VL - 41
SP - 112
EP - 116
JO - Plastic Surgical Nursing
JF - Plastic Surgical Nursing
IS - 2
ER -