TY - JOUR
T1 - Radiation Dosimetry, Artificial Intelligence and Digital Twins
T2 - Old Dog, New Tricks
AU - Currie, Geoffrey M.
AU - Rohren, Eric M.
N1 - Funding Information:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2023/5
Y1 - 2023/5
N2 - 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.
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.
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U2 - 10.1053/j.semnuclmed.2022.10.007
DO - 10.1053/j.semnuclmed.2022.10.007
M3 - Review article
C2 - 36379728
AN - SCOPUS:85141960873
SN - 0001-2998
VL - 53
SP - 457
EP - 466
JO - Seminars in Nuclear Medicine
JF - Seminars in Nuclear Medicine
IS - 3
ER -