Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives.

ABSTRACT: Although proper pain evaluation is mandatory for establishing the appropriate therapy, self-reported pain level assessment has several limitations. Data-driven artificial intelligence (AI) methods can be employed for research on automatic pain assessment (APA). The goal is the development of objective, standardized, and generalizable instruments useful for pain assessment in different clinical contexts. The purpose of this article is to discuss the state of the art of research and perspectives on APA applications in both research and clinical scenarios. Principles of AI functioning will be addressed. For narrative purposes, AI-based methods are grouped into behavioral-based approaches and neurophysiology-based pain detection methods. Since pain is generally accompanied by spontaneous facia

SUBMITTER: Cascella M 

PROVIDER: S-EPMC10322534 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature