Automated facial recognition system using deep learning for pain assessment in adults with cerebral palsy.
Álvaro Sabater-GárrizF Xavier Gaya-MoreyJosé María Buades-RubioCristina Manresa-YeePedro MontoyaInmaculada RiquelmePublished in: Digital health (2024)
The study underscores the potential of deep learning in developing reliable pain detection systems using facial recognition for individuals with communication impairments due to neurological conditions. A more extensive and diverse dataset could further enhance the models' sensitivity to subtle pain expressions in cerebral palsy patients and possibly extend to other complex neurological disorders. This research marks a significant step toward more empathetic and accurate pain management for vulnerable populations.
Keyphrases
- pain management
- cerebral palsy
- deep learning
- chronic pain
- end stage renal disease
- neuropathic pain
- machine learning
- artificial intelligence
- ejection fraction
- convolutional neural network
- newly diagnosed
- high resolution
- prognostic factors
- peritoneal dialysis
- spinal cord injury
- spinal cord
- mass spectrometry
- patient reported outcomes
- cerebral ischemia
- label free
- postoperative pain