欧洲核医学协会对人工智能在分子脑成像中的作用的观点。 - Suppr

Perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging.

作者信息

Fraioli Francesco, Albert Nathalie, Boellaard Ronald, Galazzo Ilaria Boscolo, Brendel Matthias, Buvat Irene, Castellaro Marco, Cecchin Diego, Fernandez Pablo Aguiar, Guedj Eric, Hammers Alexander, Kaplar Zoltan, Morbelli Silvia, Papp Laszlo, Shi Kuangyu, Tolboom Nelleke, Traub-Weidinger Tatjana, Verger Antoine, Van Weehaeghe Donatienne, Yakushev Igor, Barthel Henryk

机构信息

Institute of Nuclear Medicine, University College London Hospitals, 5Th Floor UCH, 235 Euston Rd, London, NW1 2BU, UK.

Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany.

出版信息

Eur J Nucl Med Mol Imaging. 2024 Mar;51(4):1007-1011. doi: 10.1007/s00259-023-06553-1.

DOI:10.1007/s00259-023-06553-1

PMID:38097746

Abstract

摘要

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Perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging.

作者信息

机构信息

Institute of Nuclear Medicine, University College London Hospitals, 5Th Floor UCH, 235 Euston Rd, London, NW1 2BU, UK.

Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany.

出版信息

Eur J Nucl Med Mol Imaging. 2024 Mar;51(4):1007-1011. doi: 10.1007/s00259-023-06553-1.

DOI:10.1007/s00259-023-06553-1

PMID:38097746

Abstract

摘要

相似文献

Perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging.

Eur J Nucl Med Mol Imaging. 2024 Mar;51(4):1007-1011. doi: 10.1007/s00259-023-06553-1.

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

Eur J Nucl Med Mol Imaging. 2022 Nov;49(13):4452-4463. doi: 10.1007/s00259-022-05891-w. Epub 2022 Jul 9.

An EANM position paper on the application of artificial intelligence in nuclear medicine.

Eur J Nucl Med Mol Imaging. 2022 Dec;50(1):61-66. doi: 10.1007/s00259-022-05947-x. Epub 2022 Aug 25.

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J Nucl Med. 2022 Apr;63(4):500-510. doi: 10.2967/jnumed.121.262567. Epub 2021 Nov 5.

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J Nucl Med. 2023 Feb;64(2):188-196. doi: 10.2967/jnumed.121.263703. Epub 2022 Dec 15.

Artificial intelligence for nuclear medicine in oncology.

Ann Nucl Med. 2022 Feb;36(2):123-132. doi: 10.1007/s12149-021-01693-6. Epub 2022 Jan 14.

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Eur J Nucl Med Mol Imaging. 2020 Apr;47(4):748-752. doi: 10.1007/s00259-020-04678-1.

Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines).

J Nucl Med. 2022 Sep;63(9):1288-1299. doi: 10.2967/jnumed.121.263239. Epub 2022 May 26.

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Semin Nucl Med. 2021 Mar;51(2):112-119. doi: 10.1053/j.semnuclmed.2020.09.003. Epub 2020 Oct 17.

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J Nucl Med. 2019 Sep;60(Suppl 2):29S-37S. doi: 10.2967/jnumed.118.220590.

本文引用的文献

Identifying and troubleshooting the pitfalls of ictal/interictal brain perfusion SPECT studies.

Nucl Med Commun. 2023 Nov 1;44(11):1053-1058. doi: 10.1097/MNM.0000000000001755. Epub 2023 Sep 4.

Deep-learning predicted PET can be subtracted from the true clinical fluorodeoxyglucose PET co-registered to MRI to identify the epileptogenic zone in focal epilepsy.

Epilepsia Open. 2023 Dec;8(4):1440-1451. doi: 10.1002/epi4.12820. Epub 2023 Aug 29.

AI for PET image reconstruction.

Br J Radiol. 2023 Oct;96(1150):20230292. doi: 10.1259/bjr.20230292. Epub 2023 Sep 4.

Fast and Accurate Amyloid Brain PET Quantification Without MRI Using Deep Neural Networks.

J Nucl Med. 2023 Apr;64(4):659-666. doi: 10.2967/jnumed.122.264414. Epub 2022 Nov 3.

Deep-TOF-PET: Deep learning-guided generation of time-of-flight from non-TOF brain PET images in the image and projection domains.

Hum Brain Mapp. 2022 Nov;43(16):5032-5043. doi: 10.1002/hbm.26068. Epub 2022 Sep 10.

Quantitative evaluation of a deep learning-based framework to generate whole-body attenuation maps using LSO background radiation in long axial FOV PET scanners.

Eur J Nucl Med Mol Imaging. 2022 Nov;49(13):4490-4502. doi: 10.1007/s00259-022-05909-3. Epub 2022 Jul 19.

Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework.

Clin Nucl Med. 2022 Jul 1;47(7):606-617. doi: 10.1097/RLU.0000000000004194. Epub 2022 Apr 20.

Artificial intelligence for molecular neuroimaging.

Ann Transl Med. 2021 May;9(9):822. doi: 10.21037/atm-20-6220.

Swarm Learning for decentralized and confidential clinical machine learning.

Nature. 2021 Jun;594(7862):265-270. doi: 10.1038/s41586-021-03583-3. Epub 2021 May 26.

Validation of amyloid PET positivity thresholds in centiloids: a multisite PET study approach.

Alzheimers Res Ther. 2021 May 10;13(1):99. doi: 10.1186/s13195-021-00836-1.

Perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging.

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Perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging.

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