ArticleScientific reports2023
2D/3D ultrasound diagnosis of pediatric distal radius fractures by human readers vs artificial intelligence.
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 8 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
8 citing papers in PubMed, 21 citations in OpenAlex.
- Diagnostic accuracy of deep learning models for detecting wrist and distal forearm fractures in pediatric patients: A systematic review and meta-analysis.Emergency radiology · 2026Review
- Diagnostic performance of artificial intelligence in fracture detection with ultrasound: A systematic review and meta-analysis.The ultrasound journal · 2026Article
- Applications of Artificial Intelligence in Pediatric Orthopaedics.Indian journal of orthopaedics · 2026Review
- Ultrasonography can be more informative than computed tomography for diagnosing radial head fractures: An illustrative case series.Ultraschall in der Medizin (Stuttgart, Germany : 1980) · 2025Article
- Wrist and elbow fracture detection and segmentation by artificial intelligence using point-of-care ultrasound.Journal of ultrasound · 2025Article
- Point-of-care ultrasound for the diagnosis of distal forearm fractures in children and adolescents: a scoping review.European journal of pediatrics · 2024Article
- 2D vs. 3D Ultrasound Diagnosis of Pediatric Supracondylar Fractures.Children (Basel, Switzerland) · 2023Article
- 3D-Printed Orthoses vs Conventional Immobilization Methods for Pediatric Distal Radius Fractures.Journal of orthopedics for physician assistantsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wrist trauma is common in children and generally requires radiography for exclusion of fractures, subjecting children to radiation and long wait times in the emergency department. Ultrasound (US) has potential to be a safer, faster diagnostic tool. This study aimed to determine how reliably US could detect distal radius fractures in children, to contrast the accuracy of 2DUS to 3DUS, and to assess the utility of artificial intelligence for image interpretation. 127 children were scanned with 2DUS and 3DUS on the affected wrist. US scans were then read by 7 blinded human readers and an AI model. With radiographs used as the gold standard, expert human readers obtained a mean sensitivity of 0.97 and 0.98 for 2DUS and 3DUS respectively. The AI model sensitivity was 0.91 and 1.00 for 2DUS and 3DUS respectively. Study data suggests that 2DUS is comparable to 3DUS and AI diagnosis is comparable to human experts.
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.