Research map: Artificial Intelligence in Orthodontics: A Scoping Review of Methods and Applications

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  1. Deep Residual Learning for Image Recognition · Kaiming He · 2016 · 229835 citations · Cited by this paper
  2. Evaluation of Autoregressive Models for Predicting Two‐Dimensional Mandibular Landmark Displacement During Pubertal Growth · 2026 · Related
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  4. Comparative Evaluation of Modified Vacuum‐Formed Aligners Versus Conventional Micro‐Implant Anchorage in Molar Intrusion for Pre‐Restorative Orthodontics · 2026 · Related
  5. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs · Liang-Chieh Chen · 2017 · 22770 citations · Cited by this paper
  6. Facial Growth Patterns and Midpalatal Suture Maturation in Adults: A Retrospective CBCT‐Based Observational Study · 2026 · Related
  7. Pattern Recognition and Machine Learning · 2006 · 9997 citations · Cited by this paper
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  9. Survey of Clustering Algorithms · Rui Xu · 2005 · 6246 citations · Cited by this paper
  10. Indiacran: An Intercentre Assessment of Craniofacial Form for Patients With Repaired Complete Unilateral Cleft Lip and Palate · 2026 · Related
  11. A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI · Erico Tjoa · 2020 · 2437 citations · Cited by this paper
  12. The Effects of Rapid Periodontal Distraction on Tooth Vitality and Bone Quality/Quantity: A Split‐Mouth Experimental Design · 2026 · Related
  13. GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification · Maayan Frid-Adar · 2018 · 1991 citations · Cited by this paper
  14. Patients' Treatment Experiences With Orthodontic Fixed Appliances, Clear Aligners and Direct‐to‐Consumer Clear Aligners: A Qualitative Study—Part II · 2026 · Related
  15. Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE) · Farzana Anowar · 2021 · 863 citations · Cited by this paper
  16. Effect of Immediate Loading on the Stability of Orthodontic Mini‐Implant—An Ex Vivo Study · 2026 · Related
  17. How to train your robot with deep reinforcement learning: lessons we have learned · Julian Ibarz · 2021 · 572 citations · Cited by this paper
  18. Impact of Simulated Obesity in Animals on RANK / RANKL / OPG Pathway During Orthodontic Tooth Movement · 2026 · Related
  19. Methods for Research Evidence Synthesis: The Scoping Review Approach · Heidi J. Sucharew · 2019 · 505 citations · Cited by this paper
  20. Deep Learning in Medicine—Promise, Progress, and Challenges · Fei Wang · 2018 · 504 citations · Cited by this paper
  21. Unsupervised Learning · Trevor Hastie · 2008 · 472 citations · Cited by this paper
  22. Supervised Learning · Pádraig Cunningham · 2008 · 383 citations · Cited by this paper
  23. Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation · Rushi Jiao · 2023 · 337 citations · Cited by this paper
  24. New approach for the diagnosis of extractions with neural network machine learning · Seok‐Ki Jung · 2015 · 266 citations · Cited by this paper
  25. Artificial intelligence in orthodontics · Felix Kunz · 2019 · 241 citations · Cited by this paper
  26. Artificial Neural Network Modeling for Deciding if Extractions Are Necessary Prior to Orthodontic Treatment · Xiaoqiu Xie · 2009 · 215 citations · Cited by this paper
  27. Applications of artificial intelligence and machine learning in orthodontics: a scoping review · Yashodhan M. Bichu · 2021 · 209 citations · Cited by this paper
  28. Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning · H. Wang · 2021 · 193 citations · Cited by this paper
  29. Orthodontic Treatment Planning based on Artificial Neural Networks · Peilin Li · 2019 · 172 citations · Cited by this paper
  30. Web-based fully automated cephalometric analysis by deep learning · Hannah H. Kim · 2020 · 162 citations · Cited by this paper
  31. APPRAISE-AI Tool for Quantitative Evaluation of AI Studies for Clinical Decision Support · Jethro C.C. Kwong · 2023 · 138 citations · Cited by this paper
  32. Development of novel artificial intelligence systems to predict facial morphology after orthognathic surgery and orthodontic treatment in Japanese patients · Chihiro Tanikawa · 2021 · 124 citations · Cited by this paper
  33. Evidence-based potential of generative artificial intelligence large language models in orthodontics: a comparative study of ChatGPT, Google Bard, and Microsoft Bing · Miltiadis A. Makrygiannakis · 2024 · 118 citations · Cited by this paper
  34. Few-shot learning for medical text: A review of advances, trends, and opportunities · Yao Ge · 2023 · 106 citations · Cited by this paper
  35. Training Strategies for Radiology Deep Learning Models in Data-limited Scenarios · Sema Candemir · 2021 · 102 citations · Cited by this paper
  36. Deep learning based prediction of necessity for orthognathic surgery of skeletal malocclusion using cephalogram in Korean individuals · WooSang Shin · 2021 · 101 citations · Cited by this paper
  37. Assessment of automatic cephalometric landmark identification using artificial intelligence · Галина Алексеевна Булатова · 2021 · 97 citations · Cited by this paper
  38. Accuracy and Completeness of ChatGPT-Generated Information on Interceptive Orthodontics: A Multicenter Collaborative Study · Arjeta Hatia · 2024 · 94 citations · Cited by this paper
  39. Machine Learning for the Diagnosis of Orthodontic Extractions: A Computational Analysis Using Ensemble Learning · Yasir Suhail · 2020 · 91 citations · Cited by this paper

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