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Title

Comparison of AI-generated and conventional CAD/CAM crown designs: An in vitro evaluation

 

Authors

Shipra Shukla1, Meetkumar Dedania2, Kriti Dubey3, Noor Addeen Abo Arsheed4, Karthikeyan Vasudevan5,* & Vipin Arora6

 

Affiliation

1Department of Prosthodontics and Crown & Bridge, People's College of Dental Sciences and Research Centre, Bhanpur, Bhopal Madhya Pradesh, India; 2Department of Conservative Dentistry and Endodontics, K. M. Shah Dental College and Hospital, Sumandeep Vidyapeeth Deemed to be University, Piparia, Vadodara, Gujarat, India; 3Department of Dentistry, ESIC Hospital Sonagiri, Bhopal, Madhya Pradesh, India; 4Department of Restorative Dentistry, Faculty of Dentistry, MAHSA University, Malaysia; 5Department of Prosthodontics, SRM Dental College, Ramapuram, Chennai, Tamil Nadu, India; 6Department of Restorative Dental Sciences, Faculty of Dentistry, Taif University, Taif, Saudi Arabia; *Corresponding author

 

Email

Shipra Shukla - E-mail: drshipras19@gmail.com
Meetkumar Dedania - E-mail: meet97247da@gmail.com
Kriti Dubey - E-mail: kritidubey2512@gmail.com
Noor Addeen Abo Arsheed - E-mail: nooraddeen@mahsa.edu.my
Karthikeyan Vasudevan - E-mail: drkarthikvasudev@gmail.com
Vipin Arora - E-mail: vipinendodontist@gmail.com

 

Article Type

Research Article

 

Date

Received September 1, 2026; Revised September 30, 2026; Accepted September 30, 2026, Published September 30, 2026
 

Abstract

Artificial intelligence (AI) can automate crown design, but its accuracy and function require comparison with conventional CAD/CAM. Therefore, it is of interest to compare the both workflows on 30 standardized mandibular first-molar preparations. AI shortened design time (1.73 ± 0.43 vs 5.63 ± 1.14 min; p<0.001) and reduced whole-crown RMS deviation. AI reduced marginal gap (60.3 ± 14.2 versus 68.8 ± 13.0 µm; p<0.001), while conventional CAD was better proximally. Thus, functional contacts were comparable, supporting AI as an efficient design aid with final technician or clinician verification.

 

Keywords

Artificial intelligence (AI), Computer-aided design and computer-aided manufacturing (CAD/CAM), crown design, digital dentistry, deep learning (DL), marginal fit, occlusion, prosthodontics

 

Citation

Shukla et al. Bioinformation 22(9): 5558-5563 (2026)

 

Edited by

Ashwini Dhopte

 

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.