The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Clinical applications of artificial intelligence in robotic surgery
Open accessAbstract
Artificial intelligence (AI) is revolutionizing nearly every aspect of modern life. In the medical field, robotic surgery is the sector with some of the most innovative and impactful advancements. In this narrative review, we outline recent contributions of AI to the field of robotic surgery with a particular focus on intraoperative enhancement. AI modeling is allowing surgeons to have advanced intraoperative metrics such as force and tactile measurements, enhanced detection of positive surgical margins, and even allowing for the complete automation of certain steps in surgical procedures. AI is also Query revolutionizing the field of surgical education. AI modeling applied to intraoperative surgical video feeds and instrument kinematics data is allowing for the generation of automated skills assessments. AI also shows promise for the generation and delivery of highly specialized intraoperative surgical feedback for training surgeons. Although the adoption and integration of AI show promise in robotic surgery, it raises important, complex ethical questions. Frameworks for thinking through ethical dilemmas raised by AI are outlined in this review. AI enhancements in robotic surgery is some of the most groundbreaking research happening today, and the studies outlined in this review represent some of the most exciting innovations in recent years.
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Cites
The practical implementation of artificial intelligence technologies in medicine
He, J., Baxter, S. L., Xu, J., Xu, J., Zhou, X., & Zhang, K. (2019) · Nature Medicine · doi:10.1038/s41591-018-0307-0 · Cited by 2,246
Implementing Machine Learning in Health Care — Addressing Ethical Challenges
Char, D. S., Shah, N. H., & Magnus, D. (2018) · New England Journal of Medicine · doi:10.1056/nejmp1714229 · Cited by 1,857
Privacy in the age of medical big data
Price, W. N., & Cohen, I. G. (2019) · Nature Medicine · doi:10.1038/s41591-018-0272-7 · Cited by 1,522
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
Autonomous robotic laparoscopic surgery for intestinal anastomosis
Saeidi, H., Opfermann, J. D., Kam, M., Wei, S., Leonard, S., Hsieh, M. H., Kang, J. U., & Krieger, A. (2022) · Science Robotics · doi:10.1126/scirobotics.abj2908 · Cited by 384
The value of standards for health datasets in artificial intelligence-based applications
Arora, A., Alderman, J. E., Palmer, J., Ganapathi, S., Laws, E., McCradden, M. D., Oakden-Rayner, L., Pfohl, S. R., Ghassemi, M., McKay, F., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02608-w · Cited by 294
Attanasio, A., Scaglioni, B., De Momi, E., Fiorini, P., & Valdastri, P. (2021) · Annual Review of Control, Robotics, and Autonomous Systems · doi:10.1146/annurev-control-062420-090543 · Cited by 263
Artificial intelligence and the future of surgical robotics
Panesar, S., Cagle, Y., Chander, D., Morey, J., Fernandez-Miranda, J., & Kliot, M. (2019) · Annals of Surgery · doi:10.1097/sla.0000000000003262 · Cited by 217
Hung, A. J., Chen, J., Che, Z., Nilanon, T., Jarc, A., Titus, M., Oh, P. J., Gill, I. S., & Liu, Y. (2018) · Journal of Endourology · doi:10.1089/end.2018.0035 · Cited by 190
Self-citationA vision transformer for decoding surgeon activity from surgical videos
Kiyasseh, D., Ma, R., Haque, T. F., Miles, B. J., Wagner, C., Donoho, D. A., Anandkumar, A., & Hung, A. J. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-023-01010-8 · Cited by 169
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Artificial intelligence (AI) applications in healthcare and considerations for nursing education
Montejo, L., Fenton, A., & Davis, G. (2024) · Nurse Education in Practice · doi:10.1016/j.nepr.2024.104158 · Cited by 100
Sarantopoulos, A., Mastori Kourmpani, C., Yokarasa, A. L., Makamanzi, C., Antoniou, P., Spernovasilis, N., & Tsioutis, C. (2024) · Tropical Medicine and Infectious Disease · doi:10.3390/tropicalmed9100228 · Cited by 40
Metadata
- Authors
- Knudsen, J. E., Ghaffar, U., Ma, R., & Hung, A. J.
- Venue
- Journal of Robotic Surgery
- Published
- 2024-03-01
- Volume
- 18
- Issue
- 1
- Pages
- 102-102
- ISSN
- 1863-2483 (ISSN-L)
- 1863-2491
- OpenAlex
- W4392386497
- Cited by
- 285
- References
- 40
- FWCI
- 22.85
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Knudsen, J. E., Ghaffar, U., Ma, R., & Hung, A. J. (2024). Clinical applications of artificial intelligence in robotic surgery. Journal of Robotic Surgery. https://doi.org/10.1007/s11701-024-01867-0
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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