ArticleScientific reports2023
Deep learning for video-based automated pain recognition in rabbits.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- Comparing the performance of deep learning video-based models and trained veterinarians in cattle pain assessment.Scientific reports · 2026Article
- Enhancing Rabbit Welfare in Intensive Production Systems: A Review.TheScientificWorldJournal · 2026Review
- Biostimulants and their role in increasing cereal crops' resistance to drought stress.Frontiers in plant science · 2026Review
- Research Methods for the Analysis of Visual Emotion Cues in Animals: A Workshop Report.Animals : an open access journal from MDPI · 2025Article
- Part I: understanding pain in pigs-basic knowledge about pain assessment, measures and therapy.Porcine health management · 2025Review
- Comparison between AI and human expert performance in acute pain assessment in sheep.Scientific reports · 2025Article
- The grimace scale: a useful tool for assessing pain in laboratory animals.Experimental animals · 2024Review
- Article
- Machine learning algorithms predict canine structural epilepsy with high accuracy.Frontiers in veterinary science · 2024Article
- From facial expressions to algorithms: a narrative review of animal pain recognition technologies.Frontiers in veterinary science · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the wide range of uses of rabbits (Oryctolagus cuniculus) as experimental models for pain, as well as their increasing popularity as pets, pain assessment in rabbits is understudied. This study is the first to address automated detection of acute postoperative pain in rabbits. Using a dataset of video footage of n = 28 rabbits before (no pain) and after surgery (pain), we present an AI model for pain recognition using both the facial area and the body posture and reaching accuracy of above 87%. We apply a combination of 1 sec interval sampling with the Grayscale Short-Term stacking (GrayST) to incorporate temporal information for video classification at frame level and a frame selection technique to better exploit the availability of video data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.