Accuracy of radiologists and radiology residents in detection of paediatric appendicular fractures with and without artificial intelligence
Our study demonstrates excellent results in the detection of paediatric appendicular fractures using a commercially available AI solution. There is potential for the AI solution to function autonomously.
Authors
- Praveen M Yogendra (ORCID: https://orcid.org/0000-0002-6089-0119)
- Sze Ying Yee
- Min On Tan (ORCID: https://orcid.org/0000-0002-2744-896X)
- Freda Jawan
- Phey Ming Yeap (ORCID: https://orcid.org/0000-0002-3082-7223)
- Timothy Shao Ern Tan (ORCID: https://orcid.org/0000-0001-9297-4598)
- Tian Kai Woon (ORCID: https://orcid.org/0000-0002-7154-414X)
- A. Goh (ORCID: https://orcid.org/0000-0002-5610-6782)
- Kelvin Kay Nguan Koh
Institutions
- KK Women's and Children's Hospital (SG)
- Sengkang General Hospital (SG)
Publication Details
- Journal
- BMJ Health & Care Informatics
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1136/bmjhci-2024-101091
- Citations
- 8
- Primary Topic
- Radiology practices and education
- Type
- article
- Field-Weighted Citation Impact
- 3.23