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Title |
AI-driven prediction of treatment outcome in aligner therapy: A pilot study
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Authors |
Leela Venkata Soujanya Nallamilli1,*, Faisal Mohiuddin Ansari2, Preetham Ravuri1, Ajay K. Kubavat1, M. Udayini Monica3, Bhagyalakshmi Avinash4, Rahul Tiwari5 & Anil Managutti5
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Affiliation |
1Department of Orthodontics and Dentofacial Orthopaedics, Narsinhbhai Patel Dental College and Hospital, Sankalchand Patel University, Visnagar, Gujarat, India; 2Consultant Orthodontist, Al Meswaak Dental Clinic, Riyadh, Saudi Arabia; 3Department of Orthodontics, Kamineni Institute of Dental Sciences, Narketpally, Telangana, India; 4Department of Orthodontics, JSS Dental College and Hospital, JSS Academy of Higher Education and Research, Mysore, Karnataka, India; 5Department of Oral and Maxillofacial Surgery, Narsinhbhai Patel Dental College and Hospital, Sankalchand Patel University, Visnagar, Gujarat, India; *Corresponding author
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Leela Venkata Soujanya Nallamilli - E-mail: nlv.soujanya18@gmail.com Faisal Mohiuddin Ansari - E-mail: drfaisalansari@yahoo.com Preetham Ravuri - E-mail: dr.preethamravuri@gmail.com Ajay K. Kubavat - E-mail: kubavatajay@gmail.com M. Udayini Monica - E-mail: udayinimonica194@gmail.com Bhagyalakshmi Avinash - E-mail: drbhagya30@gmail.com
Rahul Tiwari - E-mail: drrahulvctiwari@gmail.com
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Article Type |
Research Article
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Date |
Received September 1, 2025; Revised September 30, 2025; Accepted September 30, 2025, Published September 30, 2025
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Abstract |
Clear aligner therapy is popular, but predicting whether patients will need refinement remains difficult. In this pilot study, 30 adults undergoing aligner therapy were assessed with an AI model trained on 2000 historical cases to forecast outcomes. The model predicted treatment completion without refinement with 70% accuracy, showing 75% sensitivity and 66.7% specificity. These findings indicate that AI can moderately predict refinement needs and may support personalized treatment planning in orthodontics. |
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Keywords |
Artificial Intelligence, clear aligner therapy, treatment outcome, predictive modelling, orthodontics
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Citation |
Nallamilli et al. Bioinformation 21(9): 3404-3406 (2025)
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Edited by |
Akshaya Ojha
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ISSN |
0973-2063
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Publisher |
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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.
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