2022
DOI: 10.1016/j.jped.2021.10.006
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Looking at neonatal facial features of pain: do health and non-health professionals differ?

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Cited by 6 publications
(7 citation statements)
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References 28 publications
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“…Balda et al [6] originally reported that there was no difference in the recognition accuracy of facial expressions of pain in newborns between health professionals and parents when analyzing the face of full-term infants in an analogous experiment using printed photographs. Recently, researchers have found that such classification accuracy is similar and based holistically on the same facial parts [16,17,21,23]. However, since the sample group of non-experts is com- posed of subjects with neither professional nor personal experience in attempting to score pain in newborns, non-experts have in general overestimated the presence of pain in the experimental setting carried out, showing the worst classification results on the painless rest situations of negative stimuli.…”
Section: Resultsmentioning
confidence: 99%
“…Balda et al [6] originally reported that there was no difference in the recognition accuracy of facial expressions of pain in newborns between health professionals and parents when analyzing the face of full-term infants in an analogous experiment using printed photographs. Recently, researchers have found that such classification accuracy is similar and based holistically on the same facial parts [16,17,21,23]. However, since the sample group of non-experts is com- posed of subjects with neither professional nor personal experience in attempting to score pain in newborns, non-experts have in general overestimated the presence of pain in the experimental setting carried out, showing the worst classification results on the painless rest situations of negative stimuli.…”
Section: Resultsmentioning
confidence: 99%
“…al [13] originally reported that there was no difference in the recognition accuracy of facial expression of pain in newborns between health professionals and parents when analyzing the face of full-term infants in an analogous experiment using printed photographs. Recently, researchers have found as well that such classification accuracy is not only similar, but also based holistically on the same facial parts [7,11,14,8]. However, since the sample group of non-experts is composed of subjects with neither professional nor personal experience on attempting to score pain in newborns, non-experts have in general overestimated the presence of pain in the experimental setting carried out, showing the worst classification results on the painless rest situations of negative stimuli.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, studies that seek to understand this information, extracted from both human and machine eyes, can help to create models that combine these two types of learning. Examples of such studies would be those of Silva et al 48 Barros et al 49 and Soares et al 50 that used gaze tracking of observers during newborn pain assessment; and research using eXplainable Artificial Intelligence (XAI) models, such as those of Carlini et al 23 and Coutrin et al 51…”
Section: Perspectivesmentioning
confidence: 99%