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Robotic-guided cosmetic treatments more accurate than man


Achieving evenness of laser beam irradiation is essential in achieving good outcomes and now a new study offers insight on high precision treatments with robotics.

Although few studies have been performed on laser beam irradiation in contrast to studies on laser beam emission, such as for selective photothermolysis and fractional photothermolysis, irradiation accuracy and consistency is very important.

A recent study comparing the improvements in the evenness of laser irradiation using a robot versus manual irradiation, found the robot-guided treatment to be much more accurate than the human hand achieving superior outcomes. These pioneering results could lead to a potential future standard in high precision energy-based medical/aesthetic treatments with the use of robotics.

“In this new chapter of laser medicine and surgery opened by this study, the intrinsic limitations of human hands in accuracy and consistency would be overcome, and accurate and consistent irradiation would be made possible. In my opinion, I believe that robotics are very much part of the future in cosmetic treatments and that they will be indispensible for laser medicine and surgery,” said Yongsoo Lee, M.D., co-CEO and co-founder, Oh and Lee Medical Robot, Inc., in South Korea. Dr. Lee presented the results of this study at the American Society for Laser Medicine and Surgery meeting held in April. 

Consistency and accuracy of laser irradiation

Dr. Lee and colleagues conducted a study assessing the improvement in consistency and accuracy of laser irradiation treatments, which can be represented by the evenness of laser irradiation using a robot by statistical comparisons with manual irradiation.

In the study, after irradiating 462 shots of laser (spot size 8 mm) in a 100 x 105 mm rectangular region of interest (ROI) divided into 100 fractions with an autonomous robot arm and a human subject at frequencies of 30 and 10 Hz, the area, distances between centers of laser beams, and the number of shots in each fraction were statistically compared after 10 trials with each subject at each frequency. The robot was programmed to irradiate with an overlap of 25.96% of the area of the previous shots, and the human subject (dermatologist with over 10 years laser experience) was asked to overlap 20-30% of the area.

The investigators found the robot-guided treatments to be superior to the manually guided treatments. Results showed that robotic irradiation demonstrated consistency in distances between beams and distribution in fractions at both 30 and 10 Hz frequencies, and was significantly superior than manual irradiation in the ratio of area covered by beams to ROI, distances between beams, and distribution in fractions at each frequency.

“As an aesthetic dermatologist myself, I can appreciate that virtually all doctors would welcome the robot-guided treatments, as valuable time can be saved in the busy practice. That saved time can then be invested in other patients and procedures, allowing physicians to see more patients per day. Moreover, due to the heightened precision of robotic-guided treatments, cosmetic treatments are much safer with a significantly reduced chance of adverse events occurring such as burns and spotty hypopigmentation,” Dr. Lee said.

Next: Discrepancies in evenness of robotic vs manual irradiation


Discrepancies in evenness of robotic vs manual irradiation

As the discrepancy in the evenness of irradiation between robotic and manual irradiation is expected to be greater on three-dimensional surfaces, such as human faces, than on two-dimensional ones, using robotic irradiation in energy-based medical devices would be highly beneficial. The evolving prototype robot used in this study is the first autonomously operating medical robot with visual recognition, which is different from other medical robots based on a haptic feedback system that only refine the motions of the surgeon’s hand.

“Technologically, the realization of instantaneous integration of kinetic operation after visual recognition was a challenge, but we have overcome that. If the robot arm is capable of maneuvering along the three-dimensional contour of the face, any type of laser for facial treatments as well as for other parts of the body can be robotized without any difficulty. I estimate that it may take about five to 10 years for robotic energy-based medical devices to become mainstream,” Dr. Lee said.

According to Dr. Lee, robotic-guided treatments are associated with a better safety, efficacy and efficiency when compared to those performed manually. Although control parameters for irradiation are not yet found on energy-based medical devices, this pioneering work on robotic-guided treatments should prompt further studies concerning the effects of irradiation parameters on clinical outcomes and patient satisfaction.

“In my opinion, robotic-guided cosmetic treatments will prove to be a great asset and very beneficial to a private practice offering energy-based treatments. I firmly believe my fellow colleagues around the world would contribute to future studies on robotic laser treatments, with the hope of progressing laser medicine and surgery one step farther into the future, as we have always been endeavoring to find better ways to care for our patients,” he said.



Dr. Lee is co-CEO and co-founder of Oh & Lee Medical Robot, Inc. Dr. Lee is the author of Scars and Scarring: Causes, Types and Treatment Options. He owns the copyrights for the Chinese version of this book.


-  “Scars and Scarring: Causes, Types and Treatment Options,” Nova Science Publishers, New York, USA, Hardcover/Digital Book, ISBN: 978-1-62808-005-6, 256 pages, 7x10 (NBC-C).

-  Chinese version (Complex Characters) of “Scars and Scarring: Causes, Types and Treatment Options”, Ho-Chi Book Publishing Company, Taipei, Taiwan, ISBN 978-986-368-177-9.

-  Yongsoo Lee, Jaesung Oh, Hyoin Bae, et al. “Comparative Analysis of The Evenness of Laser Irradiation by a Robot vs Human Hand: A Pilot Study of the Implication on the Effectiveness and Safety of Energy-Based Medical Devices,” ASLMS, April 2017. 



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