ArticleComputational and structural biotechnology journal2024
Design, proof-of-concept of single robotic hair transplant mechanisms for both harvest and implant of hair grafts.
Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- SETY©: A next-generation robotic training platform for safe and autonomous surgery in space - surgical biomechatronics design and Hardware-Software integration within the SY-MIS project.Journal of robotic surgery · 2025Article
- Causes and therapeutic limitations of clinical alopecia and the advent of human pluripotent stem cell follicular transplantation.Stem cell research & therapy · 2025Review
- Development and evaluation of an integrated image-guided robotic system for hair transplant surgery.Computational and structural biotechnology journal · 2025Article
- The condition of hair follicles produced by different punching methods during FUE surgery.Journal of cosmetic dermatology · 2024Article
- Stem cell-based approaches for alopecia: A narrative review of current and emerging treatment strategies.Cell transplantationReview
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The design and development of a prototype for a singular robotic hair transplant system capable of harvesting and implanting hair grafts were executed in this study. To establish a proof-of-concept for hair transplant procedures involving harvesting and implantation, a test system using a spherical phantom of the scalp was selected. The developed prototype of the robotic hair transplant system demonstrates the potential to reduce the duration that grafts remain without a blood supply, thereby minimizing hair graft damage. Additionally, the overall operation time for follicular unit extraction is comparatively shorter than that of conventional systems. Results from the robot vision tests indicate an 89.6% accuracy for hair graft detection with a 4 mm hair length phantom and 97.4% for a 2 mm hair length phantom. In the robot position control test, the root mean square error was found to be 1.268°, with a standard error of the mean of 0.203°. These outcomes suggest that the proposed system performs effectively under the conditions of a spherical phantom with a 2 mm hair length and a 5 mm distance between harvests.
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Registered trials
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