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Employing the Artificial Intelligence Object Detection Tool YOLOv8 for Real-Time Pain Detection: A F...

Employing the Artificial Intelligence Object Detection Tool YOLOv8 for Real-Time Pain Detection: A F...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11559421

Employing the Artificial Intelligence Object Detection Tool YOLOv8 for Real-Time Pain Detection: A Feasibility Study

About this item

Full title

Employing the Artificial Intelligence Object Detection Tool YOLOv8 for Real-Time Pain Detection: A Feasibility Study

Publisher

New Zealand: Dove Medical Press Limited

Journal title

Journal of pain research, 2024-01, Vol.17, p.3681-3696

Language

English

Formats

Publication information

Publisher

New Zealand: Dove Medical Press Limited

More information

Scope and Contents

Contents

Effective pain management is crucial for patient care, impacting comfort, recovery, and overall well-being. Traditional subjective pain assessment methods can be challenging, particularly in specific patient populations. This research explores an alternative approach using computer vision (CV) to detect pain through facial expressions.
The study...

Alternative Titles

Full title

Employing the Artificial Intelligence Object Detection Tool YOLOv8 for Real-Time Pain Detection: A Feasibility Study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11559421

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11559421

Other Identifiers

ISSN

1178-7090

E-ISSN

1178-7090

DOI

10.2147/JPR.S491574

How to access this item