Integration of technologies into the practice of a trauma surgeon: from robotic surgical systems to 3D printing of implants

Автор: Orlova D.M., Abdullaeva R.R., Kozlova D.D., Gubina D.M., Khafizova A.R.

Журнал: Cardiometry @cardiometry

Рубрика: Original research

Статья в выпуске: 30, 2024 года.

Бесплатный доступ

At the present stage, the introduction of technological inno-vations into medical practice is extremely important because it allows to increase the effectiveness of both diagnostic pro-cedures and the process of providing medical care to patients. At the same time, certain innovative technologies can radically change the landscape of medical procedures. Of particular in-terest in this context is the specialty of a trauma surgeon, where the innovations under consideration make it possible to im-prove patient treatment results, reduce complications, reduce recovery time and increase the experience of surgeons. Robotic surgery has become a significant breakthrough in modern medicine in general and in the practice of a trauma surgeon in particular. This technology allows surgeons to per-form complex operations with high precision and minimal im-pact on surrounding tissues, which contributes to faster recov-ery of patients and reduces the risk of complications. Robotic systems ensure the precise execution of surgical movements, robots allow surgeons to perform movements in a wider range than is possible using human hands. In addition, through the use of these systems, the surgeon, through the use of three-di-mensional cameras, receives a good visualization of the surgical field. Accordingly, the purpose of this work is to study the fea-tures of integrating modern technologies into the practice of a trauma surgeon.

Еще

Trauma surgeon, robotic surgery, 3d printing, implants

Короткий адрес: https://sciup.org/148328264

IDR: 148328264   |   DOI: 10.18137/cardiometry.2024.30.103108

Список литературы Integration of technologies into the practice of a trauma surgeon: from robotic surgical systems to 3D printing of implants

  • Poduval M, et al. Artificial intelligence and machine learning: a new destructive force in orthopedics. Indian J. Orthop. 2020;54:109-22.
  • Fontalis A, et al. Achievements and innovations in total hip replacement. SIKOT-J. 2021;7:26.
  • Kuroda Y, et al. Advanced rehabilitation technologies in orthopedics – a descriptive review. Interd. Orthop. 2021;45:1933-40.
  • Barrios-Muriel J, et al. Advances in the manufacture of orthopedic products and prostheses: a review of technologies. Materials. 2020;13:295.
  • Lal H, Patralekh MK. 3D printing and its application in orthopedic trauma: a technological miracle. J. Klin. Orthop. Trauma. 2018;9:260-8.
  • Giles K. Robots in medicine. Maybe. Veterinarian J. 2019;60:819-20.
  • Murphy M, et al. Artificial intelligence accurately identifies implants for total hip replacement: a tool for revision surgery. HIP Intern. 2022;32:766-70.
  • Carnuta, JM, et al. Artificial intelligence for the identification of implants for arthroplasty based on radiographs of the hip. Arthroplasty 2020;36:S290–4.
  • Olchak J, et al. Artificial intelligence for the analysis of radiographs of orthopedic injuries. Acta Orthop. 2017;88:581-6.
  • Curry G, et al. Machine learning and deep learning in medical imaging: Intelligent visualization. J. Med. Visualization of Radiation. sciences. 2019;50:477-87.
  • Giger ML. Machine learning in medical imaging. Jam. Call. Radiol. 2018;15:512-20.
  • Borjali A, et al. Deep learning in orthopedics: How do we gain trust in the car? Health. Convert. 2020, 1-6.
  • Shah Nevada, et al. “Smart technologies” and orthopedic surgery: modern concepts of the impact of smartphones and wearable technologies on our patients and practice. Course. Venerable Musculoskeletal system. Med. 2021;14:378-91.
  • Merle G, et al. The use of sensory technologies in orthopedic injuries. Injury 2022;53:S59–S63.
  • Prince JD. 3D printing: the Industrial Revolution. J Electron Resour Med Libr. 2014;11:39-45.
  • McMenamin PG, et al. Production of teaching materials on anatomy using three-dimensional (3D) printing technology. Anatom Sci Educ. 2014;7:479-86.
  • Teck P, et al. 3D printing methods in medical institutions: a systematic review of the literature. BioMed Eng Online. 2016;15
  • Li N. Lancet technology: 3D printing of instruments, models and organs? Lancet. 2016;388:1368.
  • Bini SA, et al. Digital Orthopedics: A look into the future in the midst of a pandemic. J Arthroplasty. 2020;35(7c):c68–c73.
  • Tan T, et al. An overview of portable sensors for out-of-laboratory prevention and rehabilitation of anterior cruciate ligament injuries. NPJ Digit Med. 2023; 6(1): 46.
  • Merle J, Parent-Harvey A, Harvey EJ. Sensors and digital medicine in orthopedic surgery. OTA Intert. 2022; 5(2 Appendix):e189.
  • Beyaz S. A brief history of artificial intelligence and robotic surgery in orthopedics and traumatology and expectations for the future. Jt Dis Relat Surg. 2020; 31(3): 653–5.
  • Mina T, Roy S. Bone fracture detection using deep supervised learning based on radiological images: a paradigm shift. Diagnostics (Basel). 2022; 12(10): 2420.
  • Farhadi F, et al. Application of artificial intelligence in orthopedic surgery. Front Med Technol. 2022; 4: 995526.
  • Bhavnani SP, Narula J, Sengupta PP. Mobile technologies and digitalization of healthcare. Eur Hart J. 2016; 37(18): 1428-38.
Еще
Статья научная