1. 459 - Implementing Automised Bone Age Assessment Tool in Department of Radiology of Hong Kong Public Hospitals.
- Author
-
Lam, Mr Tsan Pun, Ng, Mr Tat Ming, Chan, Dr Pui Kwan Joyce, and Kan, Dr Yee Ling Elaine
- Subjects
PUBLIC hospitals ,ARTIFICIAL intelligence ,HOSPITAL radiological services ,CONFERENCES & conventions ,SKELETAL maturity - Abstract
Bone age is an essential index for assessing the growth trend of a child. Traditionally the assessment is performed with manual comparison of the left-hand radiograph with an image atlas by radiologists. This is a time-consuming process and inter-rater variability is inevitable. The project team had investigated the feasibility of deploying AI tool determine the bone age from digital radiographs. After feasibility studies, trial run, validation test and evaluation, the tool started to be used in Department of Radiology of Hong Kong Children's Hospital (HKCH) in 2021. The tool had further implemented in all Radiology departments of public hospitals in Hong Kong in 2023. Identify a potential product in the market and implement to clinical use after trial run and validation. The team had gone through processes to select appropriate product in the market by understanding the technical requirements and functionalities. By consulting hospital IT on information security, a system setup is formulated for a trial study. A validation test was also performed to verify the consistency of the analysed result. The project was implemented in HKCH in 2021 with positive response during the trial run. The project was further rolled out in other Hong Kong hospitals. A product in the market was evaluated for the feasibility for deploying in clinical workflow of Hong Kong public hospitals. The implementation was completed in 2023. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF