Aboy M, Minssen T, Vayena E. Navigating the EU AI Act: implications for regulated digital medical products, NPJ Digit Med 2024;7:237.
Arsiwala-Scheppach LT, Castner NJ, Rohrer C, Mertens S, Kasneci E, Cejudo Grano de Oro JE, Schwendicke F. Impact of artificial intelligence on dentists’ gaze during caries detection: A randomized controlled trial, J Dent 2024;140:104793.
Carvalho J.S, Lotz M, Rubi L, Unger S, Pfister T, Buhmann JM, Stadlinger B. Preinterventional Third-Molar Assessment Using Robust Machine Learning. J Dent Res 2023;102:1452-1459.
Cormen TH, Leiserson CE, Rivest RL, Stein C. Introduction to Algorithms, fourth edition. Cambridge, Massachusetts, London: The MIT Press, 2022.
Elgarba BM, R. RC, Mangano F, Jacobs R. Novel AI-based automated virtual implant placement: Artificial versus human intelligence’, J Dent 2024;147:105146.
EU. Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828 (Artificial Intelligence Act) (Text with EEA relevance), EUR-Lex 2025, Accessed 09.02.2025. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=OJ%3AL_202401689.
Food & Drug Administration, U.S. Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices. 2024; Accessed 13.11.2024.
Guinot-Barona C, Alonso Perez-Barquero J, Galan Lopez L, Barmak AB, Att W, Kois JC, Revilla-Leon M. Cephalometric analysis performance discrepancy between orthodontists and an artificial intelligence model using lateral cephalometric radiographs, J Esthet Restor Dent 2024;36:555-565.
Hamamci IE, Er S, Simsar E, Sekuboyina A, Gundogar M, Stadlinger B, Mehl A, Menze B. 2023. Diffusion-Based Hierarchical Multi-label Object Detection to Analyze Panoramic Dental X-Rays. Medical Image Computing and Computer Assisted Intervention, Miccai 2023, Pt Vi 2023;14225:389-399.
Kim JE, Nam NE, Shim JS,Jung YH, Cho BH, and Hwang JJ. Transfer Learning via Deep Neural Networks for Implant Fixture System Classification Using Periapical Radiographs, J Clin Med 2020;9:1117.
Kuhnisch J, Anttonen V, Lussi J, Lussi A. Chapter 7: Technological Aids and Coronal Caries, Monogr Oral Sci 2023;31:105-114.
Kunz F, Stellzig-Eisenhauer A, Widmaier LM, Zeman F, Boldt J. Assessment of the quality of different commercial providers using artificial intelligence for automated cephalometric analysis compared to human orthodontic experts, J Orofac Orthop 2023.
Li L, Pu C, JTao J, Zhu L, Hu S, Qiao B, Xing L, Wei B, Shi C, Chen P, H. Zhang H. Development of an oral cancer detection system through deep learning, BMC Oral Health 2024;24:1468.
Mehl A, Blanz V. New procedure for fully automatic occlusal surface reconstruction by means of a biogeneric tooth model. Int J Comput Dent 2005;8:13-25.
Mehl A, Blanz V, Hickel R. Biogeneric tooth: a new mathematical representation for tooth morphology in lower first molars. Eur J Oral Sci 2005;113: 333-340.
Mertens S, Krois J, Cantu AG, Arsiwala LT, Schwendicke F. Artificial intelligence for caries detection: Randomized trial, J Dent 2021;115:103849.
Ntovas P, Marchand L, Schnappauf A, Finkelman M, Revilla-Leon M, Att W. Comparison Between Conventional and Artificial Intelligence-Assisted Setup for Digital Implant Planning: Accuracy, Time-Efficiency, and User Experience, Clin Oral Implants Res 2024.
Sabelis JF, Schreurs R, Essig H, Becking AG, Dubois L. Personalized Medicine Workflow in Post-Traumatic Orbital Reconstruction. J Pers Med, 2022;12:1366.
Torul D, Akpinar H, Bayrakdar IS, Celik O, Orhan K.. ‘Prediction of extraction difficulty for impacted maxillary third molars with deep learning approach’, J Stomatol Oral Maxillofac Surg 2024;125:101817.
Vinayahalingam S, van Nistelrooij N, Rothweiler R, Tel A, Verhoeven T, Troltzsch D, Kesting M, Berge S, Xi T, Heiland M, T. Flugge T. Advancements in diagnosing oral potentially malignant disorders: leveraging Vision transformers for multi-class detection, Clin Oral Investig 2024;28:364.
whatimplantisthat 2024, Accessed 28.11.2024.
Yamagami A, Narumi K, Saito Y, Furugen A, Imai S, Okamoto K, Kitagawa Y, Ohiro Y, Takagi R, Takekuma Y, Sugawara M, Kobayashi M. Validity and Utility of a Risk Prediction Model for Wound Infection After Lower Third Molar Surgery, Oral Dis 2025.