A New Era in Surgical Research: The Evolving Role of Artificial Intelligence
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LLMs can process and summarize vast amounts of medical literature quickly.
“LLMs can process and summarize vast amounts of medical literature quickly (Watanabe and Wiseman 2023), a task often done by research assistants.”
From Large language models (LLMs): survey, technical frameworks, and future challenges (2024) · cites this paper as Watanabe and Wiseman 2023
Cites
Artificial intelligence in surgery: promises and perils
Hashimoto, D. A., Rosman, G., Rus, D., & Meireles, O. R. (2018) · Annals of Surgery · doi:10.1097/sla.0000000000002693 · Cited by 1,468 · see citing works
Overview of artificial intelligence in medicine
Amisha, Malik, P., Pathania, M., & Rathaur, V. K. (2019) · Journal of Family Medicine and Primary Care · doi:10.4103/jfmpc.jfmpc_440_19 · Cited by 1,106 · see citing works
Schoeb, D. S., Suarez-Ibarrola, R., Hein, S., Dressler, F. F., Adams, F., Schlager, D., & Miernik, A. J. (2019) · Interactive Journal of Medical Research · doi:10.2196/16606 · Cited by 41 · see citing works
The use and future perspective of Artificial Intelligence—A survey among German surgeons
Pecqueux, M., Riediger, C., Distler, M., Oehme, F., Bork, U., Kolbinger, F. R., Schöffski, O., van Wijngaarden, P., Weitz, J., Schweipert, J., et al. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.982335 · Cited by 41 · see citing works
Artificial intelligence in surgery: Modern trends
Chopra, H., Baig, A. A., Arora, S., et al. (2022) · International Journal of Surgery · doi:10.1016/j.ijsu.2022.106883 · Cited by 14 · see citing works
Medical writing in the era of artificial intelligence
Parisis, N. A. (2019) · Medical Writing · Cited by 13 · see citing works
WAME recommendations on ChatGPT and Chatbots in relation to scholarly publications
Zielinski, C., Winker, M. A., Aggarwal, R., Ferris, L. E., Heinemann, M., Lapeña, J. F. F., Pai, S. A., Ing, E. B., Citrome, L., & on behalf of the WAME Board (2023) · The Pan-American Journal of Ophthalmology · doi:10.4103/2666-4909.372647 · Cited by 11 · see citing works
The Weight of Surgical Knowledge
Choi, J., Stave, C. D., & Spain, D. A. (2021) · Annals of Surgery · doi:10.1097/sla.0000000000005365 · Cited by 10 · see citing works
Medical writing and artificial intelligence
Soyer, P. A. (2018) · Diagnostic and Interventional Imaging · doi:10.1016/j.diii.2018.12.003 · Cited by 9 · see citing works
Systematic Review Writing by Artificial Intelligence: Can Artificial Intelligence Replace Humans?
Dones Valentin, C. (2022) · Journal of Musculoskeletal Disorders and Treatment · doi:10.23937/2572-3243.1510112 · Cited by 6 · see citing works
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Large language models (LLMs): survey, technical frameworks, and future challenges
Kumar, P. (2024) · Artificial Intelligence Review · doi:10.1007/s10462-024-10888-y · Cited by 395 · see citing works
- Authors
- Watanabe, A., & Wiseman, S. M.
- Affiliations
- University of British Columbia (CA)
- Corresponding author
- Wiseman, Sam M.
- ORCID
- Wiseman, Sam M.
- Venue
- The American Journal of Surgery
- Publisher
- Elsevier BV
- Published
- 2023-12
- Volume
- 226
- Issue
- 6
- Pages
- 923-925
- ISSN
- 0002-9610 (ISSN-L)
- OpenAlex
- W4382765980
- Cited by
- 11
- References
- 10
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 5 · 2023: 2
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Journal of Surgery (publishedVersion)
- PubMed (publishedVersion)
- 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 › Artificial Intelligence › AI in cancer detection
- Keywords
- artificial intelligence, surgical research, machine learning, natural language processing, artificial neural networks, computer vision, image recognition, expert systems, medical diagnostics, radiology, pathology
- MeSH terms
- Artificial Intelligence, Humans, General Surgery, Biomedical Research
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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.
Statistics and arithmetic are recomputed, not judged.
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