The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Large language models (LLM) and ChatGPT: what will the impact on nuclear medicine be?
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“The need to rethink and revise the current assessment tools in health care education comes in light of ChatGPT’s ability to pass reputable exams (e.g., USMLE) and possibility of ChatGPT misuse, which would result in academic dishonesty [24,34,58,59,62,76,85,86,87].”
From ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns (2023) · cites this paper as [86]
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“Alberts et al. (2023) emphasized that adversarial testing in medical QA must account for the inherent complexity of the domain, noting that even slight modifications in phrasing can significantly alter clinical interpretations.”
From Trustworthy Medical Question Answering: An Evaluation-Centric Survey (2025) · cites this paper as Alberts et al., 2023
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Cites
Explaining and Harnessing Adversarial Examples
Goodfellow, I. J., Shlens, J., & Szegedy, C. (2014) · arXiv · doi:10.48550/arxiv.1412.6572 · Cited by 10,381
Intriguing properties of neural networks
Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., & Fergus, R. (2013) · arXiv · doi:10.48550/arxiv.1312.6199 · Cited by 8,143
BAİDOO-ANU, D., & OWUSU ANSAH, L. (2023) · Journal of AI · doi:10.61969/jai.1337500 · Cited by 3,939
An overview of clinical decision support systems: Benefits, risks, and strategies for success
Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak, R. N., & Kroeker, K. I. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0221-y · Cited by 3,019
Baidoo-Anu, D., & Owusu Ansah, L. (2023) · doi:10.2139/ssrn.4337484 · Cited by 3,004
ChatGPT: five priorities for research
van Dis, E. A. M., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023) · Nature · doi:10.1038/d41586-023-00288-7 · Cited by 1,842
ChatGPT is fun, but not an author
Thorp, H. H. (2023) · Science · doi:10.1126/science.adg7879 · Cited by 1,437
On Evaluating Adversarial RobustnessPreprint
Carlini, N., Athalye, A., Papernot, N., Brendel, W., Rauber, J., Tsipras, D., Goodfellow, I., Mądry, A., & Kurakin, A. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.06705 · Cited by 1,066
ChatGPT and other large language models are double-edged swords
Shen, Y., Heacock, L., Elias, J., Hentel, K. D., Reig, B., Shih, G., & Moy, L. (2023) · Radiology · doi:10.1148/radiol.230163 · Cited by 1,008
ChatGPT listed as author on research papers: many scientists disapprove
Stokel-Walker, C. (2023) · Nature · doi:10.1038/d41586-023-00107-z · Cited by 868
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Sorted by citations
Items 201–208 of 208
LLM-Enhanced RAG System for Multilingual Fake News Detection
Mim, A. S., Shihab, H. R., & Sattar, A. (2026) · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) · doi:10.1109/qpain69676.2026.11546194
Trend analysis of AI+ gene sequencing patent technology
Chun-Jie, L. I. U., & Dan-Yang, L. I. (2026) · Shengming kexue · doi:10.3724/cbls.2026088
Large Language Models: Perceptions, Performance, and Dependency among University Students
Rabar, M., & Orehovački, T. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-30784-2_5
Analyzing ChatGPT user experiences: a sentiment analysis and thematic cluster analytics approach
Teng, S., & HAMZAH, A. B. (2026) · Quality and User Experience · doi:10.1007/s41233-026-00079-8
Khan, M. S. H., Koohsari, M. J., Li, J., Zhao, J., Luo, Y., Yasunaga, A., Oka, K., & Kaczynski, A. T. (2026) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph23081035
GenAI-Driven Knowledge Graph Expansion Using LLM Reasoning
Manchanda, M., Kumhar, B., Kaur, D. P., Kumar, R. P., Sagili, S. R., & Nema, S. (2026) · OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry (OTCON) · doi:10.1109/otcon69332.2026.11629840
Sequential and parallel prompt engineering on research article topic mining
Lou, W., Tang, W., & Gao, Y. (2026) · Information Processing & Management · doi:10.1016/j.ipm.2026.105110
A survey on AI agent security: Reasoning, Acting, and Self-Evolving
Liu, D., Luo, T., Huang, S., Yang, J., Liang, S., Jia, X., Lau, C. P., Dong, J., Liu, Y., Bai, Y., et al. (2026) · AI Plus · doi:10.59717/ipj.aiplus.2026.100004
Metadata
- Authors
- Alberts, I. L., Mercolli, L., Pyka, T., Prenosil, G., Shi, K., Rominger, A., & Afshar-Oromieh, A.
- Affiliations
- University of Bern (CH)
- Corresponding author
- Alberts, Ian L.
- Venue
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2023-03-09
- Volume
- 50
- Issue
- 6
- Pages
- 1549-1552
- ISSN
- 1619-7070 (ISSN-L)
- 1619-7089
- PMC
- PMC9995718
- OpenAlex
- W4323652488
- Cited by
- 207
- References
- 31
- Citations by year
- 2026: 32 · 2025: 66 · 2024: 72 · 2023: 36
- FWCI
- 8.23
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- European Journal of Nuclear Medicine and Molecular Imaging (publishedVersion, other-oa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Bern Open Repository and Information System (University of Bern) (submittedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
- Keywords
- large language models, ChatGPT, artificial intelligence, nuclear medicine
- MeSH terms
- Humans, Nuclear Medicine, Radionuclide Imaging
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