Physician in the Loop Design of Interactive Agents
Open accessIntegrity signals
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The most requested use cases from physician workshops were related to improving access to information.
“The most requested use cases were related to improving access to information, be it patient information, scientific literature, or internal procedures.”
From Implementation of large language models in electronic health records (2025) · cites this paper as [31]
Cites
Large language models encode clinical knowledge
Singhal, K., Azizi, S., Tu, T., Mahdavi, S. S., Wei, J., Chung, H. W., Scales, N., Tanwani, A., Cole-Lewis, H., Pfohl, S., et al. (2023) · Nature · doi:10.1038/s41586-023-06291-2 · Cited by 4,083 · see citing works
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-T., Rocktäschel, T., et al. (2020) · arXiv · doi:10.48550/arxiv.2005.11401 · Cited by 3,101 · see citing works
Jin, D., Pan, E., Oufattole, N., Weng, W.-H., Fang, H., & Szolovits, P. (2021) · doi:10.20944/preprints202105.0498.v1 · Cited by 718 · see citing works
Jin, D., Pan, E., Oufattole, N., Weng, W.-H., Fang, H., & Szolovits, P. (2021) · Applied Sciences · doi:10.3390/app11146421 · Cited by 718 · see citing works
Humar, P., Asaad, M., Bengur, F. B., & Nguyen, V. (2023) · Aesthetic Surgery Journal · doi:10.1093/asj/sjad130 · Cited by 155 · see citing works
Nam, J. G., Hwang, E. J., Kim, J., Park, N., Lee, E. H., Kim, H. J., Nam, M., Lee, J. H., Park, C. M., & Goo, J. M. (2023) · Radiology · doi:10.1148/radiol.221894 · Cited by 141 · see citing works
Suchman, K., Garg, S., & Trindade, A. J. (2023) · American Journal of Gastroenterology · doi:10.14309/ajg.0000000000002320 · Cited by 139 · see citing works
Capabilities of Gemini Models in Medicine
Saab, K., Tu, T., Weng, W.-H., Tanno, R., Stutz, D., Wulczyn, E., Zhang, F., Strother, T., Park, C., Vedadi, E., et al. (2024) · arXiv · doi:10.48550/arxiv.2404.18416 · Cited by 117 · see citing works
Comparative Evaluation of LLMs in Clinical Oncology
Rydzewski, N. R., Dinakaran, D., Zhao, S. G., Ruppin, E., Türkbey, B., Citrin, D. E., & Patel, K. R. (2024) · NEJM AI · doi:10.1056/aioa2300151 · Cited by 108 · see citing works
ChatGPT for healthcare providers and patients: Practical implications within dermatology
Jin, J. Q., & Dobry, A. S. (2023) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2023.05.081 · Cited by 49 · see citing works
ChatGPT provides inconsistent risk-stratification of patients with atraumatic chest pain
Heston, T. F., & Lewis, L. M. (2023) · medRxiv · doi:10.1371/journal.pone.0301854 · Cited by 20 · see citing works
Starren, J. B., Tierney, W. M., Williams, M. S., Tang, P. C., Weir, C. R., Koppel, R., Payne, P., Hripcsak, G. M., & Detmer, D. E. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa320 · Cited by 19 · see citing works
A Biomedical Entity Extraction Pipeline for Oncology Health Records in Portuguese
Sousa, H., Jorge, A., Pasquali, A., Santos, C., & Amorim‐Lopes, M. (2023) · ACM Symposium on Applied Computing · doi:10.1145/3555776.3578577 · Cited by 6 · see citing works
OpenAI, Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. L., Almeida, D., Altenschmidt, J., Altman, S., et al. (2023) · arXiv · doi:10.48550/arxiv.2303.08774
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Implementation of large language models in electronic health records
Griot, M., Vanderdonckt, J., & Yuksel, D. (2025) · PLOS Digital Health · doi:10.1371/journal.pdig.0001141 · Cited by 23 · see citing works
Self-citationA hybrid deployment model for generative artificial intelligence in hospitals
Griot, M., Hemptinne, C., Vanderdonckt, J. M., & Yüksel, D. (2025) · Machine Learning Health · doi:10.1088/3049-477x/addb51
Self-citation
- Authors
- Griot, M., Vanderdonckt, J., Yuksel, D., & Hemptinne, C.
- Affiliations
- Cliniques Universitaires Saint-Luc (BE)
- Corresponding author
- Griot, Maxime
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland
- Published
- 2025
- Pages
- 94-109
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4410855432
- Cited by
- 2
- References
- 13
- Citations by year
- 2025: 2
- FWCI
- 2.04
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Digital Access to Libraries (submittedVersion, other-oa)
- Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- interactive agents, human-computer interaction, clinical decision support, co-design, physician-patient interaction
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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