Title
Artificial intelligence-assisted versus traditional freehand planning for zygomatic implant placement: An in vitro comparative study
Authors
Aditi Vashisht, Varun Kumar*, Geeta Arya, Kaustubh Bhagat & Akansha Raturi
Affiliation
Department of Prosthodontics and Crown & Bridge, Seema Dental College and Hospital, Rishikesh, Uttarakhand, India; *Corresponding author
Aditi Vashisht - E-mail:
vashishtaditi1@gmail.com
Varun Kumar - E-mail: drvarun_smile@yahoo.co.in; drvarunkumar@seemadental.com
Geeta Arya - E-mail: drgeetprostho@gmail.com
Kaustubh Bhagat – E-mail: bhagatkaustubh123@gmail.com
Akansha Raturi - E-mail: akansharaturi3june@gmail.com
Article Type
Research Article
Date
Received September 1, 2026; Revised September 30, 2026; Accepted September 30, 2026, Published September 30, 2026
Abstract
Planning zygomatic implants in severely atrophic maxillae remains technically challenging and carries a risk of anatomical complications. Therefore, it is of interest to compare the AI-assisted and traditional planning in 50 hemi-maxilla models. AI-assisted planning significantly reduced entry-point, apex and angular deviations while shortening planning time (p < 0.001). It also achieved greater cortical bone contact and fewer simulated maxillary sinus perforations than traditional planning. Thus, data shows that AI assisted planning as a more accurate and efficient approach for zygomatic implants rehabilitation.
Keywords
Zygomatic implants, artificial intelligence (AI), digital implant planning, computer-assisted surgery, accuracy, cortical bone contact, sinus perforation, atrophic maxilla
Citation
Vashisht et al. Bioinformation 22(9): 5920-5923 (2026)
Edited by
Ruby Singh
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
