Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis.

The Lancet. Digital health - 1 Oct 2021

Hoti Kreshnik, Chivers Paola Teresa, Hughes Jeffery David

Abstract excerpt

BACKGROUND: The management of procedural pain in infants is suboptimal, in part, compounded by the scarcity of a simple, accurate, and reliable method of assessing such pain. In this study, we aimed to evaluate the psychometric properties of the PainChek Infant, a point-of-care mobile application that uses automated facial evaluation and analysis in the assessment of procedural pain in infants. METHODS: Video...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Facial Expression
Share to Feasibility Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Infant

Share to Pain Measurement

Share to Photography

Share to Point-of-Care Systems

Share to Psychometrics

Share to Reproducibility of Results

Source

Identifiers

PMID: 34481769
DOI: 10.1016/S2589-7500(21)00129-1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis.PMID 34481769Read ↗

Pain Expression Detection System for Non-Communicable PatientsSemantic proximity Read ↗

LabGrymace: Automated Analysis of Mouse Grimace for Quantitative Assessment of Pain DynamicsSemantic proximity Read ↗

Machine Learning Guided Video Analysis Identifies Sound-Evoked Pain Behaviors from Facial Grimace and Body Cues in MiceSemantic proximity Read ↗

Using facial reaction analysis and machine learning to objectively assess palatability of medicines in childrenSemantic proximity Read ↗

A Non-Invasive Approach for Facial Action Unit Extraction and Its Application in Pain DetectionSemantic proximity Read ↗

A preregistered, Open Pipeline for Early Cerebral Palsy Risk Assessment from Infant VideosSemantic proximity Read ↗

Pain in Rett syndrome: two pilot studies on the assessment of pain and the construction of a suitable measuring scaleSemantic proximity Read ↗

AI-driven Diagnostic Processes and Comprehensive Multimodal Models in Pain MedicineSemantic proximity Read ↗

Micro-Expression–Based Facial Analysis for Automated Pain Recognition in Dairy CattleSemantic proximity Read ↗

Facial Expressions as a Nexus for Health AssessmentSemantic proximity Read ↗

Remote General Movement Assessment for early detection of Cerebral Palsy in high-risk infants: A Knowledge Translational Study implementing home filming in a Norwegian cohort.Semantic proximity Read ↗

Synthesizing Physiological Stress Facial Expressions for Medical Simulation Mannequins Using AI-Driven Facial Action UnitsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.