Patil Chetan Dilip, Parkar Aameer Fazluddin, Bhalerao Snehal, Kawale Pradeep, Thetay Anshuj Ajay Rao, Lahoti Seema
Department of Orthodontics and Dentofacial Orthopedics, Yogita Dental College and hospital, Khed, Ratnagiri, Maharashtra, India.
Department of Orthodontics and Dentofacial Orthopedics, RKDF Dental College and Research Centre, Bhopal, Madhya Pradesh, India.
Bioinformation. 2025 Feb 28;21(2):173-176. doi: 10.6026/973206300210173. eCollection 2025.
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.
人工智能（AI）驱动的自动图像分析通过减少对耗时的手动评估的依赖，准确地跟踪正畸牙齿移动。在一项对100名患者的研究中，AI的精度达到92%，误差幅度为0.25毫米，与手动测量有很强的相关性（r = 0.94，p < 0.001）。AI分析每组图像需要3秒，明显快于7分钟的手动过程（p < 0.001）。正畸医生对AI可靠性的评分是4.7/5，86%的人更喜欢AI辅助监测。因此，AI提高了治疗效率、标准化和临床决策能力。
