How to Design AI-Driven Clinical Trials in Nuclear Medicine
Open accessAbstract
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.
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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].”
From Radiopharmaceuticals: navigating the frontier of precision medicine and therapeutic innovation (2024) · cites this paper as [123]
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Yousefi, A., Zandi, A., Shojaeian, F., Marzban, M. R., Tavakol, M. R., Abiri, H., Hojabri, M., Kaviani, G., & Pournezhad, S. (2023) · Iranian Journal of Blood and Cancer · doi:10.61186/ijbc.15.3.42
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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
- Licence
- 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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