AUTHOR=Sim Jordan Z. T. , Bhanu Prakash K. N. , Huang Wei Min , Tan Cher Heng TITLE=Harnessing artificial intelligence in radiology to augment population health JOURNAL=Frontiers in Medical Technology VOLUME=5 YEAR=2023 URL=https://www.frontiersin.org/journals/medical-technology/articles/10.3389/fmedt.2023.1281500 DOI=10.3389/fmedt.2023.1281500 ISSN=2673-3129 ABSTRACT=

This review article serves to highlight radiological services as a major cost driver for the healthcare sector, and the potential improvements in productivity and cost savings that can be generated by incorporating artificial intelligence (AI) into the radiology workflow, referencing Singapore healthcare as an example. More specifically, we will discuss the opportunities for AI in lowering healthcare costs and supporting transformational shifts in our care model in the following domains: predictive analytics for optimising throughput and appropriate referrals, computer vision for image enhancement (to increase scanner efficiency and decrease radiation exposure) and pattern recognition (to aid human interpretation and worklist prioritisation), natural language processing and large language models for optimising reports and text data-mining. In the context of preventive health, we will discuss how AI can support population level screening for major disease burdens through opportunistic screening and democratise expertise to increase access to radiological services in primary and community care.