Research map: Artificial Intelligence in Orthodontics: A Scoping Review of Methods and Applications
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- Methods for Research Evidence Synthesis: The Scoping Review Approach · Heidi J. Sucharew · 2019 · 505 citations · Cited by this paper
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- New approach for the diagnosis of extractions with neural network machine learning · Seok‐Ki Jung · 2015 · 266 citations · Cited by this paper
- Artificial intelligence in orthodontics · Felix Kunz · 2019 · 241 citations · Cited by this paper
- Artificial Neural Network Modeling for Deciding if Extractions Are Necessary Prior to Orthodontic Treatment · Xiaoqiu Xie · 2009 · 215 citations · Cited by this paper
- Applications of artificial intelligence and machine learning in orthodontics: a scoping review · Yashodhan M. Bichu · 2021 · 209 citations · Cited by this paper
- Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning · H. Wang · 2021 · 193 citations · Cited by this paper
- Orthodontic Treatment Planning based on Artificial Neural Networks · Peilin Li · 2019 · 172 citations · Cited by this paper
- Web-based fully automated cephalometric analysis by deep learning · Hannah H. Kim · 2020 · 162 citations · Cited by this paper
- APPRAISE-AI Tool for Quantitative Evaluation of AI Studies for Clinical Decision Support · Jethro C.C. Kwong · 2023 · 138 citations · Cited by this paper
- 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
- 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
- Few-shot learning for medical text: A review of advances, trends, and opportunities · Yao Ge · 2023 · 106 citations · Cited by this paper
- Training Strategies for Radiology Deep Learning Models in Data-limited Scenarios · Sema Candemir · 2021 · 102 citations · Cited by this paper
- 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
- Assessment of automatic cephalometric landmark identification using artificial intelligence · Галина Алексеевна Булатова · 2021 · 97 citations · Cited by this paper
- Accuracy and Completeness of ChatGPT-Generated Information on Interceptive Orthodontics: A Multicenter Collaborative Study · Arjeta Hatia · 2024 · 94 citations · Cited by this paper
- 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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