Artificial intelligence to evaluate postoperative pain based on facial expression recognition.

Journal: European journal of pain (London, England)
Published Date: Apr 6, 2022

Abstract

BACKGROUND: Pain intensity evaluation by self-report is difficult and biased in non-communicating people, which may contribute to inappropriate pain management. The use of artificial intelligence (AI) to evaluate pain intensity based on automated facial expression analysis has not been evaluated in clinical conditions.

Authors

  • Denys Fontaine
  • Valentin Vielzeuf
    Orange Labs, Lannion, France.
  • Philippe Genestier
    Orange Labs, Lannion, France.
  • Pascal Limeux
    Orange Labs, Lannion, France.
  • Serena Santucci-Sivilotto
    FHU INOVPAIN, Centre Hospitalier Universitaire de Nice, Nice, France.
  • Emmanuel Mory
    Orange Labs, Lannion, France.
  • Nelly Darmon
    Université Cote d'Azur, UR2CA (Unité de Recherche Clinique Côte d'Azur), Nice, France.
  • Michel Lanteri-Minet
    FHU INOVPAIN, Centre Hospitalier Universitaire de Nice, Nice, France.
  • May Mokhtar
    Laboratoire d'Anthropologie et de Psychologie Cognitives et Sociales (LAPCOS), Université Cote d'Azur, Nice, France.
  • Melanie Laine
    Laboratoire d'Anthropologie et de Psychologie Cognitives et Sociales (LAPCOS), Université Cote d'Azur, Nice, France.
  • Damien Vistoli
    Laboratoire d'Anthropologie et de Psychologie Cognitives et Sociales (LAPCOS), Université Cote d'Azur, Nice, France.

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