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Date: 23 Sep 2023, Saturday | Time: 0945 - 1030 | Track Type: Plenary Lecture | Venue: L1-S1, Academia
Speaker: Assoc Prof Eric Chua Chern-Pin
With artificial intelligence (AI) poised to significantly impact radiography practice, it is important for radiographers in Singapore to learn about AI to guide its successful adoption. To advance AI education in the radiography profession, the Singapore Institute of Technology (SIT) and the Singapore Society of Radiographers (SSR) have jointly sought to understand radiographers' perceptions and expectations of AI, and to identify AI learning needs and preferences amongst radiographers in Singapore. SIT has also been studying AI curricula within medical imaging and will be introducing AI curricula into its undergraduate diagnostic radiography program. In this talk we will share this work and invite congress participants to shape the future of AI education in radiography with us.
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