Cited by 36Artificial Intelligence in Healthcare and EducationMedical Imaging Techniques and ApplicationsRadiomics and Machine Learning in Medical Imaging

How to Design AI-Driven Clinical Trials in Nuclear Medicine

Open access
Delso, Gaspar, Cirillo, Davide, Kaggie, Joshua D, Valencia, Alfonso, Metser, Ur, Veit-Haibach, Patrick·2021·Seminars in Nuclear Medicine

Abstract

Artificial intelligence (AI) is an overarching term for a multitude of technologies which are currently being discussed and introduced in several areas of medicine and in medical imaging specifically. There is, however, limited literature and information about how AI techniques can be integrated into the design of clinical imaging trials. This article will present several aspects of AI being used in trials today and how imaging departments and especially nuclear medicine departments can prepare themselves to be at the forefront of AI-driven clinical trials. Beginning with some basic explanation on AI techniques currently being used and existing challenges of its implementation, it will also cover the logistical prerequisites which have to be in place in nuclear medicine departments to participate successfully in AI-driven clinical trials.

Integrity signals

Registry

Crossref · 10.1053/j.semnuclmed.2020.09.003

Cites

65 of 65 references verified0 citation errors · 0 not checkable

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  • Fusion of AI with radiopharmaceuticals enhances diagnostic and therapeutic outcomes and accelerates research and drug development.

    “The fusion of AI with radiopharmaceuticals not only enhances diagnostic and therapeutic outcomes but also accelerates research and drug development, transforming the discovery of novel radiotracers and therapeutic agents [123].”

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Authors
Delso, G., Cirillo, D., Kaggie, J. D., Valencia, A., Metser, U., & Veit-Haibach, P.
Affiliations
  • Barcelona Supercomputing Center (ES)
  • University of Cambridge (GB)
  • University Health Network (CA)
Venue
Seminars in Nuclear Medicine
Publisher
Elsevier BV
Published
2021-03
Volume
51
Issue
2
Pages
112-119
ISSN
0001-2998 (ISSN-L)
OpenAlex
W3093990381
Cited by
36
References
67
Citations by year
2026: 3 · 2025: 8 · 2024: 10 · 2023: 8 · 2022: 4 · 2021: 3
FWCI
0.29
Type
journal article
Language
en
Open access
Locations
  • Seminars in Nuclear Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Apollo (University of Cambridge) (submittedVersion, cc-by-nc-nd)
  • Apollo
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
Keywords
artificial intelligence, clinical trial design, nuclear medicine, diagnostic imaging, AI implementation challenges, nuclear medicine department
MeSH terms
Artificial Intelligence, Diagnostic Imaging, Humans, Nuclear Medicine, Radionuclide Imaging

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