IFOMPT 2024
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Contribution title Reliability of an Automated Pain-Spot Recognition Algorithm for Pen-on-Paper Pain Drawings
Contribution code D3.008
Authors
  1. Marco Barbero University of Applied Sciences and Arts of Southern Switzerland Presenter
  2. Corrado Cescon University of Applied Sciences and Arts of Southern Switzerland
  3. Alessandro Schneebeli University of Applied Sciences and Arts of Southern Switzerland
  4. Deborah Falla University of Birmingham, United Kingdom
  5. Giuseppe Landolfi University of Applied Sciences and Arts of Southern Switzerland
  6. Marco Derboni Dalle Molle Institute for Artificial Intelligence, IDSIA, USI-SUPSI
  7. Marco Derboni Dalle Molle Institute for Artificial Intelligence, IDSIA, USI-SUPSI
  8. Vincenzo Giuffrida Dalle Molle Institute for Artificial Intelligence, IDSIA, USI-SUPSI
  9. Andrea Emilio Rizzoli Dalle Molle Institute for Artificial Intelligence, IDSIA, USI-SUPSI
  10. Paolo Maino Neurocenter of Southern Switzerland, Regional Hospital of Lugano
  11. Eva Koetsier Neurocenter of Southern Switzerland, Regional Hospital of Lugano
Form of presentation Poster
Topic
  • 1. Innovative models of care in musculoskeletal and manual physical therapy