Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol

Authors

Institutions

Publication Details

Journal
BMJ Open
Published
2024-12-01
DOI
https://doi.org/10.1136/bmjopen-2024-084448
Citations
9
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.08

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol

Kanthan Theivendran, Joy Barber, Susan Cheng Shelmerdine, N. Woznitza et al.
9 citations
BMJ Open
Artificial Intelligence in Healthcare and Education
1.08
article

Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol

Kanthan Theivendran, Joy Barber, Susan Cheng Shelmerdine, N. Woznitza, Owen J. Arthurs, Emily Ashworth, Dean Langan, Alex Novak, Sarim Ather, Cato Pauling, Emma Allan, David Rosewarne, Saira Haque, Ka-Wai Yung
article en
9 citations

Abstract

No abstract available for this paper.
BMJ OpenVol. 14(12)
Canterbury Christ Church University (GB), University College London Hospitals NHS Foundation Trust (GB), Sandwell & West Birmingham Hospitals NHS Trust (GB), Great Ormond Street Hospital (GB), St George’s University Hospitals NHS Foundation Trust (GB), South West London and St George's Mental Health NHS Trust (GB), King's College Hospital NHS Foundation Trust (GB), Wellcome / EPSRC Centre for Interventional and Surgical Sciences (GB), Oxford University Hospitals NHS Trust (GB), The Royal Wolverhampton NHS Trust (GB), Wolverhampton Hospital (GB), University College London (GB)
King's College Hospital NHS Foundation Trust, Health and Care Research Wales, National Institute for Health and Care Research, King's College London, Great Ormond Street Hospital Charity, Great Ormond Street Hospital for Children, Wellcome / EPSRC Centre for Interventional and Surgical Sciences, Samsung Biomedical Research Institute, Engineering and Physical Sciences Research Council, St. George's, University of London
Openalex Percentile: Top 20%
Artificial Intelligence in Healthcare and Education
1.08
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.