Artificial Intelligence-based approaches to pre-clinical pain assessment

  • Jennifer Lofgren (Chair)
  • Nick Andrews (Organiser)
  • Mette S Herskin (Member of programme committee)
  • Wenlong Huang (Member of programme committee)
  • Duncan Lascelles (Member of programme committee)
  • Constanza Meneses (Member of programme committee)
  • Victor Owoyele (Member of programme committee)
  • Daniel Pang (Member of programme committee)
  • Andrew Rice (Member of programme committee)
  • Sandercock, D. (Member of programme committee)
  • D'Eath, R. (Participant)
  • Duncan Lascelles (Participant)
  • Greg Neely (Participant)
  • Talmo Pereira (Participant)
  • Daniel Pang (Participant)
  • Fabrizio Scorrano (Participant)
  • Guorong Wu (Participant)

Activity: Participating in or organising an event typesOrganising a conference, workshop, ...

Description

Measurement of pain in non-human species in laboratory, clinical and domesticated environments is limited to surrogate outcome measures due to their inability to communicate, unlike humans. In this context, the interpretation of the pain state is based on the measurement of behavior. Behavior of animals is dramatically influenced by the presence of humans, resulting in unpredictable biases during experiments. This fact, coupled with the increasing realization that the evaluation of complex behaviors may be more clinically relevant, has led researchers to explore ‘hands-off’ methodology to measure complex behaviors. The explosive growth and availability of high-quality video and computational technology is facilitating the development of automated or semi-automated methods to capture and analyze complex behaviors as surrogate measures of pain and analgesia. Attendees will meet and interact with experts across a diverse range of non-human species (flies, rodents, companion and farm animals) - experts who will explain, discuss and demonstrate the use of video and artificial intelligence (AI) in its application to the measurement of pain. AI-based automated video analysis is becoming increasingly available and utilized, and, as for any methodology, an awareness of its advantages and caveats will be essential for all scientists working with non-human species.
Period19 Sep 2022
Event typeWorkshop
LocationToronto, Canada, Ontario
Degree of RecognitionInternational

Keywords

  • Artificial Intelligence
  • Pre-clinical
  • Pain assessment
  • Complex behaviours
  • Animal models
  • Animal welfare science
  • Laboratory animals
  • Companion animals
  • Farm animals
  • Machine Learning
  • Video analysis