Automated Pain Spots Recognition Algorithm Provided by a Web Service-Based Platform: Instrument Validation Study.

Corrado Cescon Giuseppe Landolfi Niko Bonomi Marco Derboni Vincenzo Giuffrida Andrea Emilio Rizzoli Paolo Maino Eva Koetsier Barbero Marco

Published in: JMIR mHealth and uHealth (2024)

This study demonstrates that a web platform can accurately analyze PDs acquired through various digital scanners. The findings support the use of simple and cost-effective mobile devices for PD acquisition without compromising the quality of data. Standardizing the scanning process using the proposed platform can contribute to more efficient and consistent PD analysis in clinical and research settings.

Keyphrases

high throughput
machine learning
deep learning
chronic pain
healthcare
mental health
high resolution
pain management
neuropathic pain
electronic health record
single cell
quality improvement
patient reported outcomes
mass spectrometry
spinal cord