Computer Aided Navigation For Predictable Dental Implantology: A Review

Computer Aided Navigation For Predictable Dental Implantology

Authors

  • RAHUL SRIVASTAVA RAMA DENTAL COLLEGE KANPUR
  • Bhuvan Jyoti Dental Surgeon, Department of Dental Surgery, Rama Dental College, Hospital & Research Centre Kanpur (U.P)
  • Sachin kushwaha Senior Lecturer, Department of Oral Medicine & Radiology, Rama Dental College, Hospital & Research Centre Kanpur (U.P)
  • Pankaj Kumar Priyadarshi Senior Lecturer, Department of conservative and endodontics, Rama Dental College, Hospital & Research Centre Kanpur (U.P)

Keywords:

Neocis Guidance System(Yomi®), dental implant, robotics

Abstract

A dental implant may be a surgical fixture that's placed into the jawbone and allowed to fuse with the bone over the over the range of a couple of months. The implant acts as a replacement for the foundation of a missing tooth. New efforts in computer-assisted clinical implant dentistry have created a novel way to deal with implant surgery. Neocis, a Precision HealthCare Robotics organization, has introduced a FDA-cleared automated navigational framework (robot) expected to aid both planning and surgery of dental implants. The YOMI® mechanical arm gives an upgraded dimension of exactness and control while utilizing haptic guidance and multisensory feedback to perform dental implant process. The Yomi® framework, which joins haptic mechanical innovation, incorporates programming that helps specialists with preoperative arranging and navigational direction of surgical instruments during implant surgery. This review highlights the principle mechanism of action of Neocis Guidance System (Yomi®), advantages, limitations and its amazing applications in the field of dental implant. [Shrivastava S  Natl J Integr Res Med, 2019; 10(3):63-67]

References

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Published

2019-07-25

How to Cite

SRIVASTAVA, R., Jyoti, B., kushwaha, S., & Priyadarshi, P. K. (2019). Computer Aided Navigation For Predictable Dental Implantology: A Review: Computer Aided Navigation For Predictable Dental Implantology. National Journal of Integrated Research in Medicine, 10(3), 63–67. Retrieved from http://nicpd.ac.in/ojs-/index.php/njirm/article/view/2508

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Section

Review Article

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