2023
DOI: 10.1038/s41598-023-42982-6
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Analyzing facial action units in children to differentiate genuine and fake pain during inferior alveolar nerve block: a cross-sectional study

Muaaz Alkhouli,
Zuhair Al-Nerabieah,
Mayssoon Dashash

Abstract: This study aimed to investigate the association between facial action units and pain levels in Syrian children, focusing on both genuine and fake pain expressions. A total of 300 Syrian children aged 6–9 years participated in the study. Pain levels were assessed using the validated Face, Legs, Activity, Cry, Consolability scale, and facial expressions were analyzed using the Facial Action Coding System. The children were asked to mimic their feelings after receiving a dental injection to elicit fake pain expre… Show more

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Cited by 2 publications
(3 citation statements)
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“…CFCS is a valid and reliable system that is used to assess the intensity of children pain [31,32]. As facial expressions related to pain can vary between different races, we used the results concluded by the study of Alkhouli et al, [9] which was performed on Syrian children to determine the AUs associated with each level of pain. FLACC scale is a valid and reliable scale that is used commonly in the eld of pediatric dentistry in assessing pain level.…”
Section: Discussionmentioning
confidence: 99%
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“…CFCS is a valid and reliable system that is used to assess the intensity of children pain [31,32]. As facial expressions related to pain can vary between different races, we used the results concluded by the study of Alkhouli et al, [9] which was performed on Syrian children to determine the AUs associated with each level of pain. FLACC scale is a valid and reliable scale that is used commonly in the eld of pediatric dentistry in assessing pain level.…”
Section: Discussionmentioning
confidence: 99%
“…Those photos were taken from the children treated in the pediatric dentistry clinics at Damascus University while they were receiving an inferior alveolar nerve block. The dataset was carefully curated by two trained researchers in the Child Facial Coding System (CFCS) (M.A and Z.A) to classify the photos into the different grades of pain depending on the results found by our previous work [9].…”
Section: Software Developmentmentioning
confidence: 99%
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