Optimizing Radiologic Detection of COVID-19

Field	Value	Language
dc.contributor.author	Gandomkar, Z.	en_AU
dc.contributor.author	Brennan, P. C.	en_AU
dc.contributor.author	Suleiman, M. E.	en_AU
dc.date.accessioned	2022-04-28T02:45:19Z
dc.date.available	2022-04-28T02:45:19Z
dc.date.issued	2022
dc.identifier.uri	https://hdl.handle.net/2123/28388
dc.description.abstract	COVID-19 has had a huge impact globally. This chapter examines the role that test set technologies coupled with artificial intelligence can transform clinical educational strategies. Using AI to streamline a methodology that has been around for decades enables education that is tailored to each clinician, acknowledges each individual's weaknesses, and is available instantly wherever in the world the clinician is available. Cautionary notes are also provided.	en_AU
dc.language.iso	en	en_AU
dc.subject	COVID-19	en_AUI
dc.subject	Coronavirus	en_AUI
dc.title	Optimizing Radiologic Detection of COVID-19	en_AU
dc.type	Book chapter	en_AU
dc.identifier.doi	10.1007/978-3-030-64573-1_285

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