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Cited by in CrossRef
For: Gokdeniz ST, Kamburoğlu K. Artificial intelligence in dentomaxillofacial radiology. World J Radiol 2022; 14(3): 55-59 [PMID: 35432776 DOI: 10.4329/wjr.v14.i3.55]
URL: https://www.wjgnet.com/1949-8470/full/v14/i3/55.htm
Number Citing Articles
1
Fatma E. A. Hassanein, Radwa R. Hussein, Mohamed Riad Elgarhy, Shaymaa Mohamed Maher, Ahmed Hassen, Sherif Heidar, Marwa Ezz El Arab, Amr Edress, Asmaa Abou-Bakr, Mohamed Mekhemar. Artificial Intelligence Versus Human Dental Expertise in Diagnosing Periapical Pathosis on Periapical Radiographs: A Multicenter StudyBioengineering 2026; 13(2) doi: 10.3390/bioengineering13020232
2
N. Sarkisyan, N. Borisenko, N. Kataeva, V. Agaki. Use of artificial intelligence in the diagnosis of periodontal diseasesVrach 2026;  doi: 10.29296/25877305-2026-04-04
3
Rocco Franco, Giuseppe Minervini. Digitalization, Technologies, New Approaches, and Telemedicine in Dentistry and Craniofacial/Temporomandibular DisordersApplied Sciences 2024; 14(13) doi: 10.3390/app14135871
4
B. Brozhyna. Modern Digital Approaches to Diagnosis and Planning of Orthopedic Rehabilitation in Patients with Tooth Loss due to Maxillofacial Injuries (Literature Review)SUCHASNA STOMATOLOHIYA 2025;  doi: 10.33295/1992-576X-2025-3-117
5
Ahmed A. Madfa, Abdullah F. Alshammari, Bassam A. Anazi. Assessing diagnostic performance of multimodal AI and human experts in oral and maxillofacial radiography: a comparative analysis of ChatGPT, Grok, and MANUSAnnals of Medicine 2026; 58(1) doi: 10.1080/07853890.2026.2664903
6
Yoonji Lee, Jeong-Hye Pyeon, Sung-Hoon Han, Na Jin Kim, Won-Jong Park, Jun-Beom Park. A Comparative Study of Deep Learning and Manual Methods for Identifying Anatomical Landmarks through Cephalometry and Cone-Beam Computed Tomography: A Systematic Review and Meta-AnalysisApplied Sciences 2024; 14(16) doi: 10.3390/app14167342
7
Aysan Morsali, Maryam Amini, Mobina Sadat Zarabadi, Mahdieh Zarabadipour, Aida Mokhlesi. Comprehensive narrative review of artificial intelligence applications in oral health: from diagnosis to treatmentExpert Systems with Applications 2026; 300 doi: 10.1016/j.eswa.2025.130150
8
9
Farida Abesi, Atena Sadat Jamali, Mohammad Zamani. Accuracy of artificial intelligence in the detection and segmentation of oral and maxillofacial structures using cone-beam computed tomography images: a systematic review and meta-analysisPolish Journal of Radiology 2023; 88 doi: 10.5114/pjr.2023.127624
10
Nitin Rane, Saurabh Choudhary, Jayesh Rane. Towards Autonomous Healthcare: Integrating Artificial Intelligence (AI) for Personalized Medicine and Disease PredictionSSRN Electronic Journal 2023;  doi: 10.2139/ssrn.4637894
11
Shunv Ying, Feng Huang, Wei Liu, Fuming He. Deep learning in the overall process of implant prosthodontics: A state‐of‐the‐art reviewClinical Implant Dentistry and Related Research 2024; 26(5) doi: 10.1111/cid.13307
12
Shogo Takashiba. Prospects for developing treatment support for periodontal disease based on the clinical database of the Japanese Society of PeriodontologyNihon Shishubyo Gakkai Kaishi (Journal of the Japanese Society of Periodontology) 2025; 67(1) doi: 10.2329/perio.67.1
13
Ana Suárez, Stefania Arena, Alberto Herranz Calzada, Ana Isabel Castillo Varón, Victor Diaz-Flores García, Yolanda Freire. Decoding wisdom: Evaluating ChatGPT's accuracy and reproducibility in analyzing orthopantomographic images for third molar assessmentComputational and Structural Biotechnology Journal 2025; 28 doi: 10.1016/j.csbj.2025.04.010
14
Mehdi Salehizeinabadi, Swarna Yerebairapura Math, Nazila Ameli, Husniye Demirturk, Camila Pacheco-Pereira. Effectiveness of Human-Artificial Intelligence Collaboration for Interproximal Caries Detection Using Bitewing Radiographs: A Systematic ReviewOral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2026;  doi: 10.1016/j.oooo.2026.07.005