Intelligent Imaging: Anatomy of Machine Learning and Deep Learning.
The emergence of artificial intelligence (AI) in nuclear medicine and radiology has been accompanied by AI commentators and experts predicting that AI would make radiologists, in particular, extinct. More realistic perspectives suggest significant changes will occur in medical practice. There is no...
| Publicado en: | Journal of Nuclear Medicine Technology Vol. 47; no. 4; pp. 273 - 282 |
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| Formato: | review Journal Article |
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Society of Nuclear Medicine
12/1/2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=140993115&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 140993115 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00914916 H7Q jtl: Journal of Nuclear Medicine Technology issn: 00914916 maglogo: N pubinfo: dt: 12/1/2019 vid: 47 iid: 4 pid: 2576 pub: Society of Nuclear Medicine place: Reston, Virginia artinfo: ui: 140993115 140993115 NLM31401617 140993115 10.2967/jnmt.119.232470 NLM31401617 140993115 ppf: 273 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Intelligent Imaging: Anatomy of Machine Learning and Deep Learning. aug: au: Currie, Geoff affil: School of Dentistry and Health Sciences, Charles Sturt University, Wagga Wagga, Australia. sug: subj: Diagnostic Imaging Nuclear Medicine Image Processing, Computer Assisted ab: The emergence of artificial intelligence (AI) in nuclear medicine and radiology has been accompanied by AI commentators and experts predicting that AI would make radiologists, in particular, extinct. More realistic perspectives suggest significant changes will occur in medical practice. There is no escaping the disruptive technology associated with AI, neural networks, and deep learning, the most significant perhaps since the early days of Roentgen, Becquerel, and Curie. AI is an omen, but it need not be foreshadowing a negative event; rather, it is heralding great opportunity. The key to sustainability lies not in resisting AI but in having a deep understanding and exploiting the capabilities of AI in nuclear medicine while mastering those capabilities unique to the human resources. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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