ArticleJournal of the American Academy of Orthopaedic Surgeons. Global research & reviews2026
The Use of Artificial Intelligence in Idiopathic Clubfoot: A Scoping Review.
Article in Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe past decade has been marked by the progressive integration of artificial intelligence (AI), especially in the form of machine learning and deep learning. Pediatric orthopaedics remains an underexplored area in AI, especially in the context of congenital deformities such as clubfoot.
objectiveA scoping review would help organize the various uses of AI in this domain by identifying studies and categorizing them based on the technique used and their applications, exposing gaps, and informing future studies to support AI integration in pediatric care.
methodsA Preferred Reporting Items for Systematic Reviews and Meta-Analyses-based analysis was conducted, and several databases were used to scope for articles (MEDLINE, PubMed, Scopus, Google Scholar) using a set of keywords and mapped-out terms.
resultsA total of 16 studies met all eligibility criteria and were included in this review. These studies covered the use of AI, machine learning, or computational modeling over a broad range of objectives such as diagnosis, treatment, gait analysis, and prognostic modeling.
conclusionAI is moving from promise to practice in clubfoot diagnosis, decision making, and even relapse detection. Indeed, across 16 studies, AI applied as different forms, such as deep learning classifiers and finite element models, shows potential to offer solutions to long-standing clinical challenges such as subjective assessments and variability in treatment.
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.