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Title

AI-assisted digital tooth arrangement system for esthetic optimization in virtual dentures

 

Authors

Karthikeyan Vasudevan1, Vijay Parmar2,*, Gouri R Reddy3, Ankit Dhimole4, Ekta Chheda5 & Deepali Neeraj6

 

Affiliation

1Department of Prosthodontics, SRM Dental College, Ramapuram, Chennai, India; 2Department of Dentistry, AIIMS Rajkot, Gujarat ,India; 3Department of Dentistry, Shri Atal Bihari Vajpayee Medical College and Research Institute, Bengaluru, India; 4Department of Oral Medicine & radiology, Hitkarini Dental College & Hospital, Jabalpur, Madhya Pradesh, India; 5Department of Prosthodontics, Crown and Bridge, Government Dental College and Hospital, Ahmedabad, India; 6Department of Prosthodontics and crown and bridge, Sharda University , School Of Dental Sciences, Uttar Pradesh, India; *Corresponding author

 

Email

Karthikeyan Vasudevan - E-mail: drkarthikvasudev@gmail.com
Vijay Parmar - E-mail: vijayparmar8597@gmail.com
Gouri R Reddy - E-mail: dr.gourireddy@gmail.com
Ankit Dhimole - E-mail: drannkit@gmail.com
Ekta Chheda - E-mail: dr.ektachheda@gmail.com
Deepali Neeraj - E-mail: deepali.neeraj@sharda.ac.in

 

Article Type

Research Article

 

Date

Received February 1, 2026; Revised February 28, 2026; Accepted February 28, 2026, Published February 28, 2026

 

Abstract

Artificial tooth arrangement in complete dentures is a subjective and time-consuming process largely dependent on operator experience. An artificial intelligence–aided digital tooth arrangement system using a convolutional neural network trained on 2,500 clinically validated denture cases was developed and evaluated. Forty edentulous patient datasets were arranged using both AI-assisted and conventional digital workflows and assessed by prosthodontists and lay evaluators. The AI system significantly reduced arrangement time and achieved equal or superior esthetic scores in parameters such as midline accuracy and proportional harmony, while lay attractiveness ratings were comparable. Thus, we show that AI-assisted tooth arrangement offers an efficient, reliable and esthetically predictable approach for standardizing digital complete denture design.

 

Keywords

Artificial intelligence, full denture, digital dentistry, tooth arrangement, dental esthetics.

 

Citation

Vasudevan et al. Bioinformation 22(2): 846-852 (2026)

 

Edited by

Hiroj Bagde

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

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.