Refining multiple artificial intelligence strategies for automatic pain assessment investigations (RUGGI Study)): A study protocol
Authors' conclusion
This study will provide essential data for developing and validating integrated AI tools for objective, multidimensional pain assessment, with potential future clinical and therapeutic applications.
Study context
- Population
- Adults (>18 years) with chronic primary or secondary pain (oncologic and nononcologic) able to consent; excluding severe psychiatric or cognitive disorders and psychotropic medications; University of Salerno Hospital, Italy
- Outcome
- Predictive performance of artificial intelligence (AI) models (sensitivity, specificity, AUC-ROC) for automatic pain assessment from multimodal data
Methodological detailsprotocol, single-centre
- Protocol
- Single-centre
Main finding
As reported in the abstract
- No results reported (study ongoing)
Observational data: associations, not effects.
Original publication
Refining multiple artificial intelligence strategies for automatic pain assessment investigations (RUGGI Study)): A study protocol. Eur J Anaesthesiol Intensive Care. Published 15 May 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →