Добавил:
Sekretar
kiopkiopkiop18@yandex.ru
t.me/Prokururor I Вовсе не секретарь, но почту проверяю
Опубликованный материал нарушает ваши авторские права? Сообщите нам.
Вуз:
Предмет:
Файл:Ординатура / Хирургия / @xirurgi_2025 / @xirurgi_2025 - 218 - файл
.pdf
reconstruction using the “grid-friendly” projections.
Australasian Physical & Engineering Sciences in Medicine,
34, 375–389.
122. Cierniak, R., & Lorent, A. (2012). A neuronal approach to
the statistical image reconstruction from projections
problem. In N.-T. Nguyen, K. Hoang, & P. Jȩdrzejowicz
(Eds.), ICCCI 2012 (pp. 344–353). Springer.
123. Würfl, T., Ghesu, F. C., Christlein, V., Maier, A., et al.
(2016). Deep learning computed tomography. In S. Ourselin,
L. Joskowicz, M. R. Sabuncu, et al. (Eds.), MICCAI 2016
(pp. 432–440). Springer.
124. Adler, J., & Öktem, O. (2017). Solving ill-posed inverse
problems using iterative deep neural networks. Inverse
Problems, 33, 124007.
[MathSciNet][zbMATH]
125. Adler, J., & Oktem, O. (2018). Learned primal-dual
reconstruction. IEEE Transactions on Medical Imaging, 37,
1322–1332.
126. Zhang, J., & Zuo, H. (2019). Iterative CT image
reconstruction using neural network optimization algorithms.
In H. Bosmans, G.-H. Chen, & T. Gilat Schmidt (Eds.),
Medical imaging 2019: Physics of medical imaging (p.
1094863). SPIE.
127. Tokgöz, E., & Truden, A. (2022). Artificial intelligence, deep
learning, and machine learning applications in total hip
arthroplasty, total hip arthroplasty: Medical and biomedical
engineering and science concepts, optimization for total hip
arthroplasty applications., ISBN #: 9783031089268.
Springer.
128. Pandeeswari, R. M., Deepthyka, K., Abinaya, M., Deepa, V.,
Kabilan, R., & Glorintha, J. (2022). Fast evolutionary
algorithm based identifying surgically distorted face for
surveillance application. International Conference on
Sustainable Computing and Data Communication Systems
(ICSCDS), 2022, 516–521.
129. Singh, R., Vatsa, M., Bhatt, H. S., Bharadwaj, S., Noore, A.,
& Nooreyezdan, S. S. (2010). Plastic surgery: A new
dimension to face recognition. IEEE Transactions on
Information Forensics and Security, 5(3), 441–448.
130.
De Marsico, M., Nappi, M., Riccio, D., & Wechsler, H.
(2011). Robust face recognition after plastic surgery using
https://t.me/medicina_free

local region analysis. Proceedings of International
Conference Image Analysis and Recognition, 6754, 191–200.
131. Aggarwal, G., Biswas, S., Flynn, P. J., & Bowyer, K. W.
(2012). A sparse representation approach to face matching
across Plastic surgery. Roc. Workshop on the Applications of
Computer Vision, 1–7.
132. Sumathi, E., & Rajeswari, M. P. R. (2013). Genetic
algorithm based recognizing surgically altered face images
for real time security application. International Journal of
Scientific and Research Publications, 3(12), 1–6.
133. Bhatt, H. S., Bharadwaj, S., Singh, R., & Vatsa, M. (2010).
On matching sketches with digital face images (pp. 1–7).
2010 Fourth IEEE International Conference on Biometrics:
Theory, Applications and Systems (BTAS), Washington.
134. Weyrauch, B., Heisele, B., Huang, J., & Blanz, V. (2004).
Component-based face recognition with 3D morphable
models. Conference on Computer Vision and Pattern
Recognition Workshop, 2004, 85–85.
[zbMATH]
135. Lee, T.-Y., Lin, C.-H., & Lin, H.-Y. (2001). Computer-aided
prototype system for nose surgery. IEEE Transactions on
Information Technology in Biomedicine, 5(4), 271–278.
136. Sosa, D., Carola, N., Levitt, S., Patel, V., & Tokgöz, E.
(2023). Surgical approaches used for total knee arthroplasty.
In Total knee arthroplasty: Medical and biomedical
engineering and science concepts. Springer. ISBN #: 978-3031-31099-7.
137. Tokgöz, E. (2023). Preexisting conditions leading to total hip
arthroplasty. In Total hip arthroplasty: Medical and
biomedical engineering and science concepts. Springer.
ISBN #: 9783031089268.
138. Tokgöz, E. (2023). Perioperative patient care for total hip
arthroplasty. In Total hip arthroplasty: Medical and
biomedical engineering and science concepts. Springer.
ISBN #: 9783031089268.
139. Tokgöz, E. (2023). Surgical approach comparisons in total
hip arthroplasty. In Total hip arthroplasty: Medical and
biomedical engineering and science concepts. Springer.
ISBN #: 9783031089268.
140.
Tokgöz, E. (2023). Complications of total hip arthroplasty. In
Total hip arthroplasty: Medical and biomedical engineering
https://t.me/medicina_free

and science concepts. Springer. ISBN #: 9783031089268.
141. Tokgöz, E. (2023). Medical improvement suggestions for
total hip arthroplasty. In Total hip arthroplasty: Medical and
biomedical engineering and science concepts. Springer.
ISBN #: 9783031089268.
142. Tokgöz, E. (2023). All-inclusive impact of robotics
applications on THA: Overall impact of robotics on total hip
arthroplasty patients from manufacturing of implants to
recovery after surgery. In Total hip arthroplasty: Medical
and biomedical engineering and science concepts. Springer.
ISBN #: 9783031089268.
143. Tokgöz, E. (2023). Biomechanical success of traditional
versus robotic-assisted total hip arthroplasty. In Total hip
arthroplasty: Medical and biomedical engineering and
science concepts. Springer. ISBN #: 9783031089268.
144. Tokgöz, E., Levitt, S., Patel, V., Carola, N., & Sosa, D.
(2023). Biomechanics of total knee arthroplasty. In Total
knee arthroplasty: Medical and biomedical engineering and
science concepts. Springer. ISBN #: 978-3-031-31099-7.
145. Tokgöz, E., Carola, N., Levitt, S., Patel, V., & Sosa, D.
(2023). Robotics applications in total knee arthroplasty. In
Total knee arthroplasty: Medical and biomedical
engineering and science concepts. Springer. ISBN #: 978-3-
031-31099-7.
146. Tokgöz, E., Sosa, D., Carola, N., Levitt, S., & Patel, V.
(2023). Impact of manufacturing on total knee arthroplasty.
In Total knee arthroplasty: Medical and biomedical
engineering and science concepts. Springer. ISBN #: 978-3031-31099-7.
147. Tokgöz, E., Patel, V., Carola, N., Sosa, D., & Levitt, S.
(2023). Optimization investigations on total knee
arthroplasty. In Total knee arthroplasty: Medical and
biomedical engineering and science concepts. Springer.
ISBN #: 978-3-031-31099-7.
148. Tokgöz, E., Patel, V., Sosa, D., Levitt, S., & Carola, N.
(2023). Artificial intelligence, deep learning, and machine
learning applications in total knee arthroplasty. In Total knee
arthroplasty: Medical and biomedical engineering and
science concepts. Springer. ISBN #: 978-3-031-31099-7.
149.
Tokgöz, E. (2023). Advancing engineering of total knee
arthroplasty. In Total knee arthroplasty: Medical and
https://t.me/medicina_free

biomedical engineering and science concepts. Springer.
ISBN #: 978-3-031-31099-7.
150. Tokgöz, E., & Marina, A. C. (2023). Biomechanics of facial
plastic surgery applications. In Cosmetic and reconstructive
facial plastic surgery: A review of medical and biomedical
engineering and science concepts. Springer. ISBN #: 978-
3031311673.
151. Tokgöz, E., & Marina, A. C. (2023). Applications of
artificial intelligence, machine learning, and deep learning
on facial plastic surgeries. In Cosmetic and reconstructive
facial plastic surgery: A review of medical and biomedical
engineering and science concepts. Springer. ISBN #: 978-
3031311673.
152. Tokgöz, E., & Marina, A. C. (2023). Robotics applications in
facial plastic surgeries. In Cosmetic and reconstructive facial
plastic surgery: A review of medical and biomedical
engineering and science concepts. Springer. ISBN #: 978-
3031311673.
153. Tokgöz, E., & Marina, A. C. (2023). Engineering psychology
of facial plastic surgery patients. In Cosmetic and
reconstructive facial plastic surgery: A review of medical
and biomedical engineering and science concepts. Springer.
ISBN #: 978-3031311673.
154. Tokgöz, E. (2023). Technological improvements on facial
plastic, head and neck procedures. In Cosmetic and
reconstructive facial plastic surgery: A review of medical
and biomedical engineering and science concepts. Springer.
ISBN #: 978-3031311673.
155. Levitt, S., Patel, V., Sosa, D., Carola, N., & Tokgöz, E.
(2023). Preexisting conditions leading to total knee
arthroplasty. In Total knee arthroplasty: Medical and
biomedical engineering and science concepts. Springer.
ISBN #: 978-3-031-31099-7.
156. Sosa, D., Carola, N., Patel, V., Levitt, S., & Tokgöz, E.
(2023). Surgical approach comparison in total knee
arthroplasty. In Total knee arthroplasty: Medical and
biomedical engineering and science concepts. Springer.
ISBN #: 978-3-031-31099-7.
157. Sosa, D., Carola, N., Patel, V., Levitt, S., & Tokgöz, E.
(2023). Perioperative patient care for total knee arthroplasty.
In Total knee arthroplasty: Medical and biomedical
engineering and science concepts. Springer. ISBN #: 978-3031-31099-7.
https://t.me/medicina_free

158.
Levitt, S., Patel, V., Carola, N., Sosa, D., & Tokgöz, E.
(2023). Complications of total knee arthroplasty. In Total
knee arthroplasty: Medical and biomedical engineering and
science concepts. Springer. ISBN #: 978-3-031-31099-7.
Carola, N., Patel, V., Levitt, S., Sosa,
D., & Tokgöz, E. (2023). Ergonomics
of total knee arthroplasty. In Total
knee arthroplasty: Medical and
biomedical engineering and science
concepts. Springer. ISBN #: 978-3-
031-31099-7.
160. Marina, A. C., & Tokgöz, E. (2023). Non-surgical facial
aesthetic procedures. In Cosmetic and reconstructive facial
plastic surgery: A review of medical and biomedical
engineering and science concepts. Springer. ISBN #: 978-
3031311673.
161. Marina, A. C., & Tokgöz, E. (2023). Aesthetic surgery of the
upper face and cheeks. In Cosmetic and reconstructive facial
plastic surgery: A review of medical and biomedical
engineering and science concepts. Springer. ISBN #: 978-
3031311673.
162. Marina, A. C., & Tokgöz, E. (2023). Aesthetic surgery of the
nose and lower face. In Cosmetic and reconstructive facial
plastic surgery: A review of medical and biomedical
engineering and science concepts. Springer. ISBN #: 978-
3031311673.
163. Marina, A. C., Donofrio, G., & Tokgöz, E. (2023). Surgical
reconstruction of craniofacial malformations. In Cosmetic
and reconstructive facial plastic surgery: A review of
medical and biomedical engineering and science concepts.
Springer. ISBN #: 978-3031311673.
164. Marina, A. C., & Tokgöz, E. (2023). Surgical reconstruction
of craniofacial trauma and burns. In Cosmetic and
reconstructive facial plastic surgery: A review of medical
and biomedical engineering and science concepts. Springer.
ISBN #: 978-3031311673.
165. Marina, A. C., & Tokgöz, E. (2023). Cosmetic and
reconstructive facial plastic surgery related simulation and
optimization efforts. In Cosmetic and reconstructive facial
plastic surgery: A review of medical and biomedical
engineering and science concepts. Springer. ISBN #: 978-
3031311673.
166.
Musafer, H., & Tokgöz, E. (2023). A facial wrinkle detection
https://t.me/medicina_free

by using deep learning with an efficient optimizer. In
Cosmetic and reconstructive facial plastic surgery: A review
of medical and biomedical engineering and science
concepts. Springer. ISBN #: 978-3031311673.
https://t.me/medicina_free

(1)
(2)
©The Author(s), under exclusive license to Springer Nature Switzerland AG2023
E. Tokgöz, M. A. Carro, Cosmetic and Reconstructive Facial Plastic Surgery
https://doi.org/10.1007/978-3-031-31168-0_10
Robotics Applications in Facial Plastic
Surgeries
EmreTokgöz
1
and MarinaA.Carro
2
Whiting School of Engineering, Johns Hopkins University, Baltimore,
MD, USA
The Frank H. Netter M.D. School of Medicine, Quinnipiac University,
North Haven, CT, USA
MarinaA.Carro
Email: Marina.Carro@quinnipiac.edu
Keywords Robotics applications in facial plastic surgeries – Soft robotics
in facial plastic surgery – Robotics applications on head, neck, and transoral
surgeries – Technology integration into robotics use in facial plastic surgery
– Free flap reconstruction – Robotics & facelift plastic surgery – Hair
transplantation & robotics
Emre Tokgöz completed two Ph.D. degrees, one in Mathematics and
another one in Industrial Engineering, at the University of Oklahoma along
with a master’s degree in Computer Science and two master’s degrees in
Mathematics. Due to his interest in biomedical engineering applications of
mathematics and engineering, he pursued an online biomedical engineering
master’s degree for professionals at Johns Hopkins University. His other
research interests include nonlinear optimization, game theory,
deep/machine learning, financial engineering, facility allocation problems,
vehicle routing problems, systems’ design and improvement, network
theory and analysis, inventory systems, and Riemannian geometry.
https://t.me/medicina_free

Marina A. Carro is a second-year medical student at the Frank H. Netter
School of Medicine (Quinnipiac University). Prior to medical school, she
worked as a project manager at Clínica Esperanza Hope Clinic in
Providence, Rhode Island, where she organized and managed a satellite
COVID-19 vaccination clinic for underserved populations in the area.
Additionally, she has worked as a certified nursing assistant for 3years in
the emergency department and intensive care unit at South County Hospital
in Kingston, Rhode Island. Currently, she is on the board for the Frank H.
Netter Wellness Committee, ENT Surgical Interest Group, and American
Medical Student Association at Netter. She hopes to continue exploring her
interests in clinical procedural research, healthcare business and
administration, and provide equitable healthcare for marginalized patients
throughout the rest of her career.
1 Introduction
It was the Hindu surgeons who were trained to understand the anatomy and
skilled in skin-shifting and other phases of reconstructive work [176].
Sushruta, who was the father of Hindu surgery, wrote in detail of an
operation for the reconstruction of a lost nose by the advancement of a
cheek-flap, and this is the oldest known description of rhinoplasty, written
during 750–800BC, that was based on previously developed techniques.
Plastic operations for the repair of lips by means of cheek flaps were
explained in this work as well as methods of repairing split or mutilated
lobes of ears. This method of utilizing sliding flaps was called, many
centuries later, the French method [176]. The facial prosthetics using wax
and earthen ceramics for developing prosthetic eyes, ears, and noses are
going back to Egyptian developments during 500BC [177]. The
development of facial prosthetics is advanced by using 3D printing [27].
Advanced manufacturing allows extremely detailed life-like replicas of
facial features that can be produced within hours and is a small fraction of
the cost of traditional prosthetics with low 3D costs [178]. Effectiveness of
the 3D printing applications on small-sized custom implants or prosthetics,
such as those used for craniofacial disorders, has been observed to be
effective [179].
https://t.me/medicina_free

Robotics is another important advancement that also takes place in 3D
printing as well as other facial plastic surgery and the associated
applications in head and neck surgeries commonly. There are other
technologies that are incorporated into facial plastic surgeries in addition to
3D printing and robotics, such as augmented reality (AR), virtual reality
(VR), simulation software, CT scan images, machine learning, deep
learning, artificial intelligence, cameras, sensors, laser technologies, and
software used for advanced data analysis. We will cover several
technologies that relate to robotics in this work, with emphasis on robotics
applications on head and neck surgeries as well as facial plastic surgeries.
Personalized facial reconstruction is needed for development of
individualized and economical treatment of patients [27]. There are
anatomical geometric challenges faced during the treatment of
chondromyxoid fibroma (CMF), which is a type of cartilage tumor that
exist between the bones [120, 121]. Autologous bone grafting has its
limitations, including bone size and complications, that may be faced, such
as pain, infection, and functional disability [122]. Anatomical precision
increases with 3D printed implants, which allows individualized treatment.
Facial injury repairment that required multiple surgeries, imprecisely fitting
plating systems, or bone grafts can be accurately fitted with a singlecomponent 3D implant. Which can substantially increase the structural
integrity and cosmesis of the reconstruction. The effectiveness of using
robotics has been tested for cell crosslinking that contains material via a
biocompatible chemical reaction or photoinitiated crosslinking with deposit
of bio-printed skin directly into wound or burn defects of mice in [123].
This additive manufacturing technique allows advancement of surgeries and
practicality of applications. Inkjet approach allowed high-speed construct of
skin defects [124], and accuracy of robotics has allowed advancement of
reconstructive surgeries [125].
Large incisions were needed prior to CAS to fully view the operational
area and other structures to allocate the lesion. Computer-assisted surgery
(CAS) is used for plastic surgical procedures that utilize technologies such
as imaging scans, computer technology, and robotics. CAS allowed:
Smaller incisions and openings than the traditional techniques
Minimal invasion during procedures
Effective allocation of the lesion, which shortens the operation length
https://t.me/medicina_free

Identification of the critical structures associated with the operational
section and avoiding them
Planning and simulation of the best route to be followed
For instance, some of the historically inoperable brain tumors become
operable upon advancements in CAS technologies. Resection of tumors
require careful attention on surrounding tissue, nerves, and blood vessels.
Robotic surgery applications within oral and maxillofacial surgery/head
and neck surgery include, but are not limited to, the following [15]:
Robot-assisted radical tonsillectomy
Base of tongue neoplasms
Removal of salivary gland pathology (i.e., benign neoplasms, malignant
neoplasms, and salivary stones)
Removal of benign or malignant parapharyngeal space tumors
Select cases of oral and maxillofacial surgeries, such as open reduction,
facial osteotomies, internal fixation of fractures, and placement of facial
implants, require careful incision management with the goal of executing a
successful operation along with minimization of surgical footprint routinely
by utilizing well-concealed incisions during the procedure. For instance,
such approaches were limited during the management of tumors of the
oropharynx. Dental implants’ surgical placement and restoration through
increased utilization of three-dimensional (3D) imaging, such as cone beam
computed tomography (CBCT) and intraoral scanning (IOS) becoming a
common practice in the office-based and academic settings, allowed the
implant team to perform restoratively driven planning in a collaborative
fashion using CAS [15]. Examples of such applications of robotics included
the following:
RoboDent use for computer aided dental implantology [116]
Impact of smoking on disease-specific survival outcomes in patients with
human papillomavirus-associated oropharyngeal cancer treated with
transoral robotic surgery [117]
Transoral robotic surgery usage for tonsillar cancer [118]
Da Vinci’s Xi surgical system is used in [1] to perform scaffold
implantation and second-stage flap raising as a feasibility study. The goal of
the study was to regenerate bone in the greater omentum as part of facial
skeleton reconstruction.
https://t.me/medicina_free
Соседние файлы в папке @xirurgi_2025
