Evidence map›Paper›PMID 38601923›Full record

ArticleFrontiers in pain research (Lausanne, Switzerland)2024

Multimodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures.

Stefanos Gkikas, Nikolaos S Tachos, Stelios Andreadis, Vasileios C Pezoulas, Dimitrios Zaridis, George Gkois, Anastasia Matonaki, Thanos G Stavropoulos, Dimitrios I Fotiadis

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pain research (Lausanne, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
18.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

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  17. Pseudo-labeling based adaptations of pain domain classifiers.Frontiers in pain research (Lausanne, Switzerland) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Stefanos GkikasComputational BioMedicine Laboratory (CBML), Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece.
Nikolaos S TachosBiomedical Research Institute, Foundation for Research and Technology - Hellas (FORTH), Ioannina, Greece.
Stelios AndreadisPfizer Center for Digital Innovation, Thessaloniki, Greece.
Vasileios C PezoulasBiomedical Research Institute, Foundation for Research and Technology - Hellas (FORTH), Ioannina, Greece.
Dimitrios ZaridisBiomedical Research Institute, Foundation for Research and Technology - Hellas (FORTH), Ioannina, Greece.
George GkoisBiomedical Research Institute, Foundation for Research and Technology - Hellas (FORTH), Ioannina, Greece.
Anastasia MatonakiPfizer Center for Digital Innovation, Thessaloniki, Greece.
Thanos G StavropoulosPfizer Center for Digital Innovation, Thessaloniki, Greece.
Dimitrios I FotiadisBiomedical Research Institute, Foundation for Research and Technology - Hellas (FORTH), Ioannina, Greece.
Foundation for Research and Technology Hellas · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and objective pain evaluation is crucial in developing effective pain management protocols, aiming to alleviate distress and prevent patients from experiencing decreased functionality. A multimodal automatic assessment framework for acute pain utilizing video and heart rate signals is introduced in this study. The proposed framework comprises four pivotal modules: the

Indexed as

data fusiondeep learningECGpain recognitionvision transformer

Identifiers

PMID38601923
PMCPMC11004333
OpenAlexW4393229262

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.