Evidence map›Paper›PMID 41466635›Full record

ArticleBioinformation2025

AI-driven prediction of treatment outcome in aligner therapy: A pilot study.

Leela Venkata Soujanya Nallamilli, Faisal Mohiuddin Ansari, Preetham Ravuri, Ajay K Kubavat, Udayini Monica M, Bhagyalakshmi Avinash, Rahul Tiwari, Anil Managutti

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Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Leela Venkata Soujanya NallamilliDepartment of Orthodontics and Dentofacial Orthopaedics, Narsinhbhai Patel Dental College and Hospital, Sankalchand Patel University, Visnagar, Gujarat, India.
Faisal Mohiuddin AnsariConsultant Orthodontist, Al Meswaak Dental Clinic, Riyadh, Saudi Arabia.
Preetham RavuriDepartment of Orthodontics and Dentofacial Orthopaedics, Narsinhbhai Patel Dental College and Hospital, Sankalchand Patel University, Visnagar, Gujarat, India.
Ajay K KubavatDepartment of Orthodontics and Dentofacial Orthopaedics, Narsinhbhai Patel Dental College and Hospital, Sankalchand Patel University, Visnagar, Gujarat, India.
Udayini Monica MDepartment of Orthodontics, Kamineni Institute of Dental Sciences, Narketpally, Telangana, India.
Bhagyalakshmi AvinashDepartment of Orthodontics, JSS Dental College and Hospital, JSS Academy of Higher Education and Research, Mysore, Karnataka, India.
Rahul TiwariDepartment of Oral and Maxillofacial Surgery, Narsinhbhai Patel Dental College and Hospital, Sankalchand Patel University, Visnagar, Gujarat, India.
Anil ManaguttiDepartment of Oral and Maxillofacial Surgery, Narsinhbhai Patel Dental College and Hospital, Sankalchand Patel University, Visnagar, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial Intelligenceclear aligner therapyorthodonticspredictive modellingtreatment outcome

Identifiers

PMID41466635
PMCPMC12744509

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