March 2026
1. ELGARBA BM, Dawood EA, Fontenele RC, Lahoud P, et al
   Automating Virtual Dental Implant Placement: Can AI Match Clinical Expertise?
   Dentomaxillofac Radiol. 2026 Mar 3:twag015. doi: 10.1093.
   

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   July 2025
2. YUCE H, Acikgoz G, Al-Jumaili S, Ucan ON, et al
   Automatic Identification of Dental Implant Brands with Deep Learning Algorithms.
   Dentomaxillofac Radiol. 2025 Jul 8:twaf054. doi: 10.1093.
   

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   March 2025
3. DOS REIS INR, Vilela N, Naenni N, Jung RE, et al
   Methods for assessing peri-implant marginal bone levels on digital periapical radiographs: a meta-research.
   Dentomaxillofac Radiol. 2025;54:222-230.
   

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   February 2025
4. BOHNER L, Parize H, Cordeiro JVC, Laureano NK, et al
   Bone quality assessment around dental implants in cone-beam computed tomography images: effect of scan mode and metal artefact reduction tool.
   Dentomaxillofac Radiol. 2025 Feb 13:twaf003. doi: 10.1093.
   

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5. JOHANNSEN KM, Christensen J, Matzen LH, Hansen B, et al
   Interference of titanium and zirconia implants on dental-dedicated MR image quality: ex vivo and in vivo assessment.
   Dentomaxillofac Radiol. 2025;54:132-139.
   

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6. OLIVEIRA ML, Schaub S, Dagassan-Berndt D, Bieder F, et al
   Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles.
   Dentomaxillofac Radiol. 2025;54:109-117.
   

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   April 2024
7. CARNEIRO ALE, Reis INR, Bitencourt FV, Salgado DMRA, et al
   Accuracy of linear measurements for implant planning based on low-dose cone beam CT protocols: a systematic review and meta-analysis.
   Dentomaxillofac Radiol. 2024;53:207-221.
   

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   March 2024
8. CAPEL CP, da Motta RJG, Pauwels R, Gaeta-Araujo H, et al
   Effect of metal artifact reduction level on the assessment of dental implant positioning by cone-beam computed tomography.
   Dentomaxillofac Radiol. 2024 Mar 11:twae008. doi: 10.1093.
   

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   November 2023
9. MATTA RE, Knapp Giacaman S, Wiesmueller M, Lutz R, et al
   Quantitative analysis of zirconia and titanium implant artefacts in three-dimensional virtual models of multi-slice CT and cone beam CT: does scan protocol matter?
   Dentomaxillofac Radiol. 2023;52:20230275.
   

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10. KUUSISTO N, Abushahba F, Syrjanen S, Huumonen S, et al
    Zirconia implants interfere with the evaluation of peri-implant bone defects in cone beam computed tomography (CBCT) images even with artifact reduction, a pilot study.
    Dentomaxillofac Radiol. 2023;52:20230252.
    

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    July 2023
11. MANCINI L, Khehra A, Nguyen T, Barootchi S, et al
    Echo intensity and gray-level co-occurrence matrix analysis of soft tissue grafting biomaterials and dental implants: an in vitro ultrasonographic pilot study.
    Dentomaxillofac Radiol. 2023 Jul 4:20230033. doi: 10.1259/dmfr.20230033.
    

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    January 2023
12. GU Y, Zhang D, Tao B, Wang F, et al
    A novel technique to quantify bone-to-implant contact of zygomatic implants: a radiographic analysis based on three-dimensional image registration and segmentation.
    Dentomaxillofac Radiol. 2023;52:20220210.
    

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    September 2022
13. BOHNER L, Hanisch M, Sesma N, Blanck-Lubarsch M, et al
    Artifacts in magnetic resonance imaging caused by dental materials: a systematic review.
    Dentomaxillofac Radiol. 2022;51:20210450.
    

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    July 2022
14. PRASAD AS, Sivakumar A
    ATM technique - a novel radiographic technique to assess the position of buccal shelf implants.
    Dentomaxillofac Radiol. 2022;51:20210346.
    

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