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For: Leite AF, Vasconcelos KF, Willems H, Jacobs R. Radiomics and Machine Learning in Oral Healthcare. Proteomics Clin Appl 2020;14:e1900040. [PMID: 31950592 DOI: 10.1002/prca.201900040] [Cited by in Crossref: 17] [Cited by in F6Publishing: 11] [Article Influence: 8.5] [Reference Citation Analysis]
Number Citing Articles
1 Bostanci N. Revisiting "-omics" in Oral Health and Disease. Proteomics Clin Appl 2020;14:e1900022. [PMID: 32426939 DOI: 10.1002/prca.201900022] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
2 Satheeshkumar PS, El-Dallal M, Mohan MP. Feature selection and predicting chemotherapy-induced ulcerative mucositis using machine learning methods. Int J Med Inform 2021;154:104563. [PMID: 34479094 DOI: 10.1016/j.ijmedinf.2021.104563] [Reference Citation Analysis]
3 Carrillo-Perez F, Pecho OE, Morales JC, Paravina RD, Della Bona A, Ghinea R, Pulgar R, Pérez MDM, Herrera LJ. Applications of artificial intelligence in dentistry: A comprehensive review. J Esthet Restor Dent 2021. [PMID: 34842324 DOI: 10.1111/jerd.12844] [Reference Citation Analysis]
4 Leite AF, Gerven AV, Willems H, Beznik T, Lahoud P, Gaêta-Araujo H, Vranckx M, Jacobs R. Artificial intelligence-driven novel tool for tooth detection and segmentation on panoramic radiographs. Clin Oral Investig 2021;25:2257-67. [PMID: 32844259 DOI: 10.1007/s00784-020-03544-6] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
5 Hung K, Yeung AWK, Tanaka R, Bornstein MM. Current Applications, Opportunities, and Limitations of AI for 3D Imaging in Dental Research and Practice. Int J Environ Res Public Health 2020;17:E4424. [PMID: 32575560 DOI: 10.3390/ijerph17124424] [Cited by in Crossref: 11] [Cited by in F6Publishing: 5] [Article Influence: 5.5] [Reference Citation Analysis]
6 Joda T, Yeung AWK, Hung K, Zitzmann NU, Bornstein MM. Disruptive Innovation in Dentistry: What It Is and What Could Be Next. J Dent Res 2021;100:448-53. [PMID: 33322997 DOI: 10.1177/0022034520978774] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
7 Hung KF, Ai QYH, Leung YY, Yeung AWK. Potential and impact of artificial intelligence algorithms in dento-maxillofacial radiology. Clin Oral Investig 2022. [PMID: 35438326 DOI: 10.1007/s00784-022-04477-y] [Reference Citation Analysis]
8 Guiot J, Vaidyanathan A, Deprez L, Zerka F, Danthine D, Frix AN, Lambin P, Bottari F, Tsoutzidis N, Miraglio B, Walsh S, Vos W, Hustinx R, Ferreira M, Lovinfosse P, Leijenaar RTH. A review in radiomics: Making personalized medicine a reality via routine imaging. Med Res Rev 2021. [PMID: 34309893 DOI: 10.1002/med.21846] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
9 Liu Z, Liu J, Zhou Z, Zhang Q, Wu H, Zhai G, Han J. Differential diagnosis of ameloblastoma and odontogenic keratocyst by machine learning of panoramic radiographs. Int J Comput Assist Radiol Surg 2021;16:415-22. [PMID: 33547985 DOI: 10.1007/s11548-021-02309-0] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
10 Yan KX, Liu L, Li H. Application of machine learning in oral and maxillofacial surgery. Artif Intell Med Imaging 2021; 2(6): 104-114 [DOI: 10.35711/aimi.v2.i6.104] [Reference Citation Analysis]
11 van Dijk LV, Fuller CD. Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and Challenges. Am Soc Clin Oncol Educ Book 2021;41:1-11. [PMID: 33929877 DOI: 10.1200/EDBK_320951] [Reference Citation Analysis]
12 Pauwels R, Del Rey YC. Attitude of Brazilian dentists and dental students regarding the future role of artificial intelligence in oral radiology: a multicenter survey. Dentomaxillofac Radiol 2021;50:20200461. [PMID: 33353376 DOI: 10.1259/dmfr.20200461] [Reference Citation Analysis]
13 Mustafa A, Rahimi azghadi M. Automated Machine Learning for Healthcare and Clinical Notes Analysis. Computers 2021;10:24. [DOI: 10.3390/computers10020024] [Cited by in Crossref: 6] [Article Influence: 6.0] [Reference Citation Analysis]
14 Joda T, Bornstein MM, Jung RE, Ferrari M, Waltimo T, Zitzmann NU. Recent Trends and Future Direction of Dental Research in the Digital Era. Int J Environ Res Public Health 2020;17:E1987. [PMID: 32197311 DOI: 10.3390/ijerph17061987] [Cited by in Crossref: 21] [Cited by in F6Publishing: 13] [Article Influence: 10.5] [Reference Citation Analysis]
15 Belibasakis GN, Lund BK, Krüger Weiner C, Johannsen B, Baumgartner D, Manoil D, Hultin M, Mitsakakis K. Healthcare Challenges and Future Solutions in Dental Practice: Assessing Oral Antibiotic Resistances by Contemporary Point-Of-Care Approaches. Antibiotics (Basel) 2020;9:E810. [PMID: 33202544 DOI: 10.3390/antibiotics9110810] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
16 Gerhardt MDN, Fontenele RC, Leite AF, Lahoud P, Van Gerven A, Willems H, Smolders A, Beznik T, Jacobs R. Automated detection and labelling of teeth and small edentulous regions on Cone-Beam Computed Tomography using Convolutional Neural Networks. Journal of Dentistry 2022. [DOI: 10.1016/j.jdent.2022.104139] [Reference Citation Analysis]
17 Koopaie M, Salamati M, Montazeri R, Davoudi M, Kolahdooz S. Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning. BMC Oral Health 2021;21:650. [PMID: 34922509 DOI: 10.1186/s12903-021-02016-x] [Reference Citation Analysis]
18 Vetchaporn S, Rangsri W, Ittichaicharoen J, Rungsiyakull P. Validity and Reliability of Intraoral Camera with Fluorescent Aids for Oral Potentially Malignant Disorders Screening in Teledentistry. Int J Dent 2021;2021:6814027. [PMID: 34745263 DOI: 10.1155/2021/6814027] [Reference Citation Analysis]
19 Lahoud P, Diels S, Niclaes L, Van Aelst S, Willems H, Van Gerven A, Quirynen M, Jacobs R. Development and validation of a novel artificial intelligence driven tool for accurate mandibular canal segmentation on CBCT. J Dent 2021;116:103891. [PMID: 34780873 DOI: 10.1016/j.jdent.2021.103891] [Reference Citation Analysis]
20 Niño-Sandoval TC, Vasconcelos BC. Biotypic classification of facial profiles using discrete cosine transforms on lateral radiographs. Arch Oral Biol 2021;131:105249. [PMID: 34543809 DOI: 10.1016/j.archoralbio.2021.105249] [Reference Citation Analysis]
21 Vranckx M, Van Gerven A, Willems H, Vandemeulebroucke A, Ferreira Leite A, Politis C, Jacobs R. Artificial Intelligence (AI)-Driven Molar Angulation Measurements to Predict Third Molar Eruption on Panoramic Radiographs. Int J Environ Res Public Health 2020;17:E3716. [PMID: 32466156 DOI: 10.3390/ijerph17103716] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]