Optimizing Radiologic Detection of COVID-19

Field	Value	Language
dc.contributor.author	Gandomkar, Z.	en
dc.contributor.author	Brennan, P. C.	en
dc.contributor.author	Suleiman, M. E.	en
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
dc.language.iso	en	en
dc.rights	Other
dc.subject	COVID-19	en
dc.subject	Coronavirus	en
dc.title	Optimizing Radiologic Detection of COVID-19	en
dc.type	Book chapter	en
dc.identifier.doi	10.1007/978-3-030-64573-1_285
usyd.faculty	Faculty of Medicine and Health, Sydney School of Health Sciences	en

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