The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Microrobots for Minimally Invasive Medicine
Abstract
Microrobots have the potential to revolutionize many aspects of medicine. These untethered, wirelessly controlled and powered devices will make existing therapeutic and diagnostic procedures less invasive and will enable new procedures never before possible. The aim of this review is threefold: first, to provide a comprehensive survey of the technological state of the art in medical microrobots; second, to explore the potential impact of medical microrobots and inspire future research in this field; and third, to provide a collection of valuable information and engineering tools for the design of medical microrobots.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Purcell, E. M. (1977) · American Journal of Physics · doi:10.1119/1.10903 · Cited by 4,360
Cited by
Small-scale soft-bodied robot with multimodal locomotion
Hu, W., Lum, G. Z., Mastrangeli, M., & Sitti, M. (2018) · Nature · doi:10.1038/nature25443 · Cited by 2,372
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-citationMultifunctional Biohybrid Magnetite Microrobots for Imaging-Guided Therapy
Yan, X., Zhou, Q., Vincent, M., Deng, Y., Yu, J., Xu, J., Xu, T., Tang, T., Bian, L., Wang, Y.-X. J., et al. (2017) · Science Robotics · doi:10.1126/scirobotics.aaq1155 · Cited by 893
Biomedical Applications of Untethered Mobile Milli/Microrobots
Sitti, M., Ceylan, H., Hu, W., Giltinan, J., Turan, M., Yim, S., & Diller, E. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2385105 · Cited by 893
Magnetic Soft Materials and Robots
Kim, Y., & Zhao, X. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00481 · Cited by 873
Metadata
- Authors
- Nelson, B. J., Kaliakatsos, I. K., & Abbott, J. J.
- Venue
- Annual Review of Biomedical Engineering
- Publisher
- Annual Reviews
- Published
- 2010-07-01
- Volume
- 12
- Issue
- 1
- Pages
- 55-85
- ISSN
- 1523-9829 (ISSN-L)
- 1545-4274
- OpenAlex
- W2168046319
- Cited by
- 1,968
- References
- 1
- FWCI
- 2.62
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Microrobots for Minimally Invasive Medicine. https://app.cochat.ai/papers/10.1146/annurev-bioeng-010510-103409
- The paper
- Nelson, B. J., Kaliakatsos, I. K., & Abbott, J. J. (2010). Microrobots for Minimally Invasive Medicine. Annual Review of Biomedical Engineering. https://doi.org/10.1146/annurev-bioeng-010510-103409
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.