Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation

Dimitris Visvikis; Philippe Lambin; Kim Beuschau Mauridsen; Roland Hustinx; Michael Lassmann; Christoph Rischpler; Kuangyu Shi; Jan Pruim

doi:10.1007/s00259-022-05891-w

Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation

Dimitris Visvikis
, Philippe Lambin
, Kim Beuschau Mauridsen
, Roland Hustinx
, Michael Lassmann
, Christoph Rischpler
, Kuangyu Shi
, Jan Pruim^*

^*Corresponding author for this work

Research output: Contribution to journal › (Systematic) Review article › peer-review

Abstract

Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as it will in everyday life. In this review, we focus on the potential applications of AI in the field, both from a physical (radiomics, underlying statistics, image reconstruction and data analysis) and a clinical (neurology, cardiology, oncology) perspective. Challenges for transferability from research to clinical practice are being discussed as is the concept of explainable AI. Finally, we focus on the fields where challenges should be set out to introduce AI in the field of nuclear medicine and molecular imaging in a reliable manner.

Original language	English
Pages (from-to)	4452-4463
Number of pages	12
Journal	European Journal of Nuclear Medicine and Molecular Imaging
Volume	49
Issue number	13
Early online date	9 Jul 2022
DOIs	https://doi.org/10.1007/s00259-022-05891-w
Publication status	Published - Nov 2022

Keywords

Artificial intelligence
DEEP NEURAL-NETWORK
DISEASE
DOSIMETRY
IMAGES
INFORMATION
MULTIMODALITY
MYOCARDIAL-PERFUSION SPECT
Molecular imaging
Nuclear medicine
PREDICTION
RADIOMICS
REPRODUCIBILITY

Access to Document

10.1007/s00259-022-05891-wLicence: CC BY

Cite this

Visvikis, D., Lambin, P., Beuschau Mauridsen, K., Hustinx, R., Lassmann, M., Rischpler, C., Shi, K., & Pruim, J. (2022). Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation. European Journal of Nuclear Medicine and Molecular Imaging, 49(13), 4452-4463. https://doi.org/10.1007/s00259-022-05891-w

@article{ad05ba3b71054d91901e40ac2b411cc8,

title = "Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation",

abstract = "Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as it will in everyday life. In this review, we focus on the potential applications of AI in the field, both from a physical (radiomics, underlying statistics, image reconstruction and data analysis) and a clinical (neurology, cardiology, oncology) perspective. Challenges for transferability from research to clinical practice are being discussed as is the concept of explainable AI. Finally, we focus on the fields where challenges should be set out to introduce AI in the field of nuclear medicine and molecular imaging in a reliable manner.",

keywords = "Artificial intelligence, DEEP NEURAL-NETWORK, DISEASE, DOSIMETRY, IMAGES, INFORMATION, MULTIMODALITY, MYOCARDIAL-PERFUSION SPECT, Molecular imaging, Nuclear medicine, PREDICTION, RADIOMICS, REPRODUCIBILITY",

author = "Dimitris Visvikis and Philippe Lambin and \{Beuschau Mauridsen\}, Kim and Roland Hustinx and Michael Lassmann and Christoph Rischpler and Kuangyu Shi and Jan Pruim",

note = "{\textcopyright} 2022. The Author(s).",

year = "2022",

month = nov,

doi = "10.1007/s00259-022-05891-w",

language = "English",

volume = "49",

pages = "4452--4463",

journal = "European Journal of Nuclear Medicine and Molecular Imaging",

issn = "1619-7070",

publisher = "Springer",

number = "13",

}

Visvikis, D, Lambin, P, Beuschau Mauridsen, K, Hustinx, R, Lassmann, M, Rischpler, C, Shi, K & Pruim, J 2022, 'Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation', European Journal of Nuclear Medicine and Molecular Imaging, vol. 49, no. 13, pp. 4452-4463. https://doi.org/10.1007/s00259-022-05891-w

Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation. / Visvikis, Dimitris; Lambin, Philippe; Beuschau Mauridsen, Kim et al.
In: European Journal of Nuclear Medicine and Molecular Imaging, Vol. 49, No. 13, 11.2022, p. 4452-4463.

Research output: Contribution to journal › (Systematic) Review article › peer-review

TY - JOUR

T1 - Application of artificial intelligence in nuclear medicine and molecular imaging

T2 - a review of current status and future perspectives for clinical translation

AU - Visvikis, Dimitris

AU - Lambin, Philippe

AU - Beuschau Mauridsen, Kim

AU - Hustinx, Roland

AU - Lassmann, Michael

AU - Rischpler, Christoph

AU - Shi, Kuangyu

AU - Pruim, Jan

PY - 2022/11

Y1 - 2022/11

N2 - Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as it will in everyday life. In this review, we focus on the potential applications of AI in the field, both from a physical (radiomics, underlying statistics, image reconstruction and data analysis) and a clinical (neurology, cardiology, oncology) perspective. Challenges for transferability from research to clinical practice are being discussed as is the concept of explainable AI. Finally, we focus on the fields where challenges should be set out to introduce AI in the field of nuclear medicine and molecular imaging in a reliable manner.

AB - Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as it will in everyday life. In this review, we focus on the potential applications of AI in the field, both from a physical (radiomics, underlying statistics, image reconstruction and data analysis) and a clinical (neurology, cardiology, oncology) perspective. Challenges for transferability from research to clinical practice are being discussed as is the concept of explainable AI. Finally, we focus on the fields where challenges should be set out to introduce AI in the field of nuclear medicine and molecular imaging in a reliable manner.

KW - Artificial intelligence

KW - DEEP NEURAL-NETWORK

KW - DISEASE

KW - DOSIMETRY

KW - IMAGES

KW - INFORMATION

KW - MULTIMODALITY

KW - MYOCARDIAL-PERFUSION SPECT

KW - Molecular imaging

KW - Nuclear medicine

KW - PREDICTION

KW - RADIOMICS

KW - REPRODUCIBILITY

U2 - 10.1007/s00259-022-05891-w

DO - 10.1007/s00259-022-05891-w

M3 - (Systematic) Review article

C2 - 35809090

SN - 1619-7070

VL - 49

SP - 4452

EP - 4463

JO - European Journal of Nuclear Medicine and Molecular Imaging

JF - European Journal of Nuclear Medicine and Molecular Imaging

IS - 13

ER -

Visvikis D, Lambin P, Beuschau Mauridsen K, Hustinx R, Lassmann M, Rischpler C et al. Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation. European Journal of Nuclear Medicine and Molecular Imaging. 2022 Nov;49(13):4452-4463. Epub 2022 Jul 9. doi: 10.1007/s00259-022-05891-w

Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation

Abstract

Keywords

Access to Document

Fingerprint

Cite this