The journey of Imaging Artificial Intelligence for Supporting Clinicians

This abstract has open access
Abstract Description

Using Artificial Intelligence in health care seems like a futuristic technology, but it is something that's being used to complement and support clinical workflow. Radiology has had the lead, partly because Artificial Intelligence is driven by data and radiology has a lot of digital data already ready to be used by Artificial Intelligence. Imaging Artificial Intelligence is mainly implemented in radiology worldwide. With a well-established pipeline, the support from radiology and imaging Artificial Intelligence can be extended to frontline clinicians especially hospitals and clinics under Hong Kong Hospital Authority. There has been a good start in imaging Artificial Intelligence journey in Hospital Authority, as one of the leader in the journey, the development and implementation should address clinical workflow with quality and safety gets balanced. Artificial Intelligence has shown impressive accuracy and sensitivity in the identification of image abnormalities. On the other hand, detection of subtle changes of indeterminate significance will occur with improved sensitivity, navigating between subtle detection and over-diagnosis is never an easy task. The development, implementation and challenges of translating Artificial Intelligence technology for Chest X-ray and Hip X-ray into clinical practice will be shared. Other onboarding clinical Artificial Intelligence to support our frontline clinicians will be also included.


Abstract ID :
HAC1379
Submission Type
Hospital Authority Head Office

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