Author: Boczar, Daniel; Avila, Francisco R; Carter, Rickey E; Moore, Pamela A; Giardi, Davide; Guliyeva, Gunel; Bruce, Charles J; McLeod, Christopher J; Forte, Antonio Jorge
Title: Using Facial Recognition Tools for Health Assessment. Cord-id: fkb34owe Document date: 2021_1_1
ID: fkb34owe
Snippet: 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 asses
Document: 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.
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