Survey on Pain Detection Using Machine Learning Models: Narrative Review.

ABSTRACT:

Background

Pain, a leading reason people seek medical care, has become a social issue. Automated pain assessment has seen notable advancements over recent decades, addressing a critical need in both clinical and everyday settings.

Objective

The objective of this survey was to provide a comprehensive overview of pain and its mechanisms, to explore existing research on automated pain recognition modalities, and to identify key challenges and future directions in this field.

Methods

A literature review was conducted, analyzing studies focused on various modalities for automated pain recognition. The modalities reviewed include facial expressions, physiological signals, audio cues, and pupil dilation, with a focus on their efficacy and application in pain assessment.

R

SUBMITTER: Fang R 

PROVIDER: S-EPMC11894359 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature