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Frontiers of Medical Robotics: From Concept to Systems to Clinical Translation
Open accessAbstract
Medical robotics is poised to transform all aspects of medicine—from surgical intervention to targeted therapy, rehabilitation, and hospital automation. A key area is the development of robots for minimally invasive interventions. This review provides a detailed analysis of the evolution of interventional robots and discusses how the integration of imaging, sensing, and robotics can influence the patient care pathway toward precision intervention and patient-specific treatment. It outlines how closer coupling of perception, decision, and action can lead to enhanced dexterity, greater precision, and reduced invasiveness. It provides a critical analysis of some of the key interventional robot platforms developed over the years and their relative merit and intrinsic limitations. The review also presents a future outlook for robotic interventions and emerging trends in making them easier to use, lightweight, ergonomic, and intelligent, and thus smarter, safer, and more accessible for clinical use.
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Cites
The grand challenges of Science Robotics
Yang, G.-Z., Bellingham, J., Dupont, P. E., Fischer, P., Floridi, L., Full, R., Jacobstein, N., Kumar, V., McNutt, M., Merrifield, R., et al. (2018) · Science Robotics · doi:10.1126/scirobotics.aar7650 · Cited by 1,177
Self-citationChallenges for successful implantation of biofuel cells
Zebda, A., Alcaraz, J.-P., Vadgama, P., Shleev, S., Minteer, S. D., Boucher, F., Cinquin, P., & Martin, D. K. (2018) · Bioelectrochemistry · doi:10.1016/j.bioelechem.2018.05.011 · Cited by 224
Cited by
Telerobotic neurovascular interventions with magnetic manipulation
Kim, Y., Genevriere, E., Harker, P., Choe, J., Balicki, M., Regenhardt, R. W., Vranic, J. E., Dmytriw, A. A., Patel, A. B., & Zhao, X. (2022) · Science Robotics · doi:10.1126/scirobotics.abg9907 · Cited by 422
Application of artificial intelligence in surgery
Zhou, X.-Y., Guo, Y., Shen, M., & Yang, G.-Z. (2020) · Frontiers of Medicine · doi:10.1007/s11684-020-0770-0 · Cited by 181
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Metadata
- Authors
- Troccaz, J., Dagnino, G., & Yang, G.-Z.
- Venue
- Annual Review of Biomedical Engineering
- Publisher
- Annual Reviews
- Published
- 2019-06-04
- Volume
- 21
- Issue
- 1
- Pages
- 193-218
- ISSN
- 1523-9829 (ISSN-L)
- 1545-4274
- OpenAlex
- W2919629852
- Cited by
- 194
- References
- 2
- FWCI
- 2.19
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Troccaz, J., Dagnino, G., & Yang, G.-Z. (2019). Frontiers of Medical Robotics: From Concept to Systems to Clinical Translation. Annual Review of Biomedical Engineering. https://doi.org/10.1146/annurev-bioeng-060418-052502
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
