Paging Dr AI to radiology

Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/67210

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DC Field	Value	Language
dc.date.accessioned	2021-01-15T09:17:41Z	-
dc.date.available	2021-01-15T09:17:41Z	-
dc.date.issued	2020	-
dc.identifier.citation	Pisani, R., & Xuereb, A. (2020). Paging Dr AI to radiology. THINK Magazine, 33, 10.	en_GB
dc.identifier.uri	https://www.um.edu.mt/library/oar/handle/123456789/67210	-
dc.description.abstract	A rtificial Intelligence (AI) is revolutionising the world. We have self-driving cars, algorithms determining future market patterns, and computers diagnosing disease. We believe that AI is supporting huge developments in healthcare.	en_GB
dc.language.iso	en	en_GB
dc.publisher	University of Malta	en_GB
dc.rights	info:eu-repo/semantics/openAccess	en_GB
dc.subject	Artificial intelligence	en_GB
dc.subject	Medical radiology	en_GB
dc.subject	Machine learning	en_GB
dc.subject	Artificial intelligence -- Medical applications	en_GB
dc.title	Paging Dr AI to radiology	en_GB
dc.type	contributionToPeriodical	en_GB
dc.rights.holder	The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.	en_GB
dc.description.reviewed	N/A	en_GB
dc.publication.title	THINK Magazine	en_GB
dc.contributor.creator	Pisani, Robert	-
dc.contributor.creator	Xuereb, Amy	-
Appears in Collections:	Think Magazine, Issue 33 Think Magazine, Issue 33

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