Artificial intelligence to evaluate postoperative pain based on facial expression recognition-Reference-Cited by-同舟云学术

Artificial intelligence to evaluate postoperative pain based on facial expression recognition

Published:2022-04-06 Issue:6 Volume:26 Page:1282-1291
ISSN:1090-3801
Container-title:European Journal of Pain
language:en
Short-container-title:European Journal of Pain

Author:

Fontaine Denys¹²³,Vielzeuf Valentin⁴,Genestier Philippe⁴,Limeux Pascal⁴,Santucci‐Sivilotto Serena²³,Mory Emmanuel⁴,Darmon Nelly³⁵,Lanteri‐Minet Michel²³⁶⁷,Mokhtar May⁸,Laine Melanie⁸,Vistoli Damien⁸,

Affiliation:

1. Department of Neurosurgery Centre Hospitalier Universitaire de Nice Nice France

2. FHU INOVPAIN Centre Hospitalier Universitaire de Nice Nice France

3. Université Cote d’Azur UR2CA (Unité de Recherche Clinique Côte d’Azur) Nice France

4. Orange Labs Lannion France

5. Department of Psychiatry Centre Hospitalier Universitaire de Nice Nice France

6. Pain Clinic Centre Hospitalier Universitaire de Nice Nice France

7. INSERM/UdA U1107 Neuro‐Dol Auvergne University Clermont‐Ferrand France

8. Laboratoire d'Anthropologie et de Psychologie Cognitives et Sociales (LAPCOS) Université Cote d’Azur Nice France

Funder

Centre Hospitalier Universitaire de Nice

Publisher

Wiley

Subject

Anesthesiology and Pain Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ejp.1948

Reference37 articles.

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2. Openface: an open source facial behavior analysis toolkit;Baltrušaitis T.;IEEE Winter Conference on Applications of Computer Vision (WACV),2016

3. Ensemble neural network approach detecting pain intensity from facial expressions

4. Machine recognition and representation of neonatal facial displays of acute pain

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