Work

AI driven monitoring of orthodontic tooth movement using automated image analysis

Year: 2025

Type: article

Abstract: Artificial intelligence (AI) driven automated image analysis accurately tracks orthodontic tooth movement by reducing reliance on time-consuming manual assessments. AI achieved 92% precision with a 0.25 mm error margin and a strong correlation (r = 0.94, p < 0.001) to manual measurements in a study of 100 patients. AI analysis took 3 seconds per image set, significantly faster than the 7-minute manual process (p < 0.001). Orthodontists rated AI reliability at 4.7/5, with 86% preferring AI-assisted monitoring. Thus, AI enhances treatment efficiency, standardization, and clinical decision-making.

Source: Bioinformation

DOI: 10.6026/973206300210173

Authors: Chetan Dilip Patil, Aameer Fazluddin Parkar, Snehal Bhalerao, Pradeep Kawale, Anshuj Ajay Rao Thetay, Seema Lahoti

Institution: RKDF University

Language: English

Topic: Orthodontics and Dentofacial Orthopedics

Subfield: Orthodontics

Field: Dentistry

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4408632243