Radiation Dosimetry, Artificial Intelligence and Digital Twins: Old Dog, New Tricks.
Developments in artificial intelligence, particularly convolutional neural networks and deep learning, have the potential for problem solving that has previously confounded human intelligence. Accurate prediction of radiation dosimetry pre-treatment with scope to adjust dosing for optimal target and...
| Publicado en: | Seminars in Nuclear Medicine Vol. 53; no. 3; pp. 457 - 467 |
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| Autores principales: | , |
| Formato: | review Journal Article |
| Publicado: |
W B Saunders
May2023
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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=162382973&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 162382973 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00012998 10RZ jtl: Seminars in Nuclear Medicine issn: 00012998 maglogo: N pubinfo: dt: May2023 vid: 53 iid: 3 pid: 1351 pub: W B Saunders place: Philadelphia, Pennsylvania artinfo: ui: 162382973 162382973 NLM36379728 162382973 10.1053/j.semnuclmed.2022.10.007 NLM36379728 162382973 ppf: 457 ppct: 10 formats: tig: atl: Radiation Dosimetry, Artificial Intelligence and Digital Twins: Old Dog, New Tricks. aug: au: Currie, Geoffrey M. Rohren, Eric M. affil: Charles Sturt University, NSW, Australia sug: ab: Developments in artificial intelligence, particularly convolutional neural networks and deep learning, have the potential for problem solving that has previously confounded human intelligence. Accurate prediction of radiation dosimetry pre-treatment with scope to adjust dosing for optimal target and non-target tissue doses is consistent with striving for improved the outcomes of precision medicine. The combination of artificial intelligence and production of digital twins could provide an avenue for an individualised therapy doses and enhanced outcomes in theranostics. While there are barriers to overcome, the maturity of individual technologies (i.e. radiation dosimetry, artificial intelligence, theranostics and digital twins) places these approaches within reach. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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