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Convolutional neural networks for dental image diagnostics: A scoping review

Journal of dentistry, 2019-12, Vol.91, p.103226-103226, Article 103226

2019

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Deep Learning for the Radiographic Detection of Periodontal Bone Loss

Scientific reports, 2019-06, Vol.9 (1), p.8495-8495, Article 8495

2019

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Deep Learning for the Radiographic Detection of Apical Lesions

Journal of endodontics, 2019-07, Vol.45 (7), p.917-922.e5

2019

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Precision dentistry—what it is, where it fails (yet), and how to get there

Clinical oral investigations, 2022-04, Vol.26 (4), p.3395-3403

2022

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Detecting caries lesions of different radiographic extension on bitewings using deep learning

Journal of dentistry, 2020-09, Vol.100, p.103425-103425, Article 103425

2020

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Deep learning for caries lesion detection in near-infrared light transillumination images: A pilot study

Journal of dentistry, 2020-01, Vol.92, p.103260-103260, Article 103260

2020

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Generalizability of deep learning models for dental image analysis

Scientific reports, 2021-03, Vol.11 (1), p.6102-6102, Article 6102

2021

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Secondary caries: what is it, and how it can be controlled, detected, and managed?

Clinical oral investigations, 2020-05, Vol.24 (5), p.1869-1876

2020

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Predictors for tooth loss in periodontitis patients: Systematic review and meta‐analysis

Journal of clinical periodontology, 2019-07, Vol.46 (7), p.699-712

2019

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Trends in caries experience in the permanent dentition in Germany 1997-2014, and projection to 2030: Morbidity shifts in an aging society

Scientific reports, 2019-04, Vol.9 (1), p.5534-5534, Article 5534

2019

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Deep learning for caries detection: A systematic review

Journal of dentistry, 2022-07, Vol.122, p.104115-104115, Article 104115

2022

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Deep learning for cephalometric landmark detection: systematic review and meta-analysis

Clinical oral investigations, 2021-07, Vol.25 (7), p.4299-4309

2021

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Comparison of periodontitis patients’ classification in the 2018 versus 1999 classification

Journal of clinical periodontology, 2019-09, Vol.46 (9), p.908-917

2019

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The impact of demographic, health-related and social factors on dental services utilization: Systematic review and meta-analysis

Journal of dentistry, 2018-08, Vol.75, p.1-6

2018

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Predicting mortality in the very old: a machine learning analysis on claims data

Scientific reports, 2022-10, Vol.12 (1), p.17464-17464, Article 17464

2022

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Association between patient-, tooth- and treatment-level factors and root canal treatment failure: A retrospective longitudinal and machine learning study

Journal of dentistry, 2022-02, Vol.117, p.103937-103937, Article 103937

2022

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Long-term costs of post-restorations: 7-year practice-based results from Germany

Clinical oral investigations, 2021-04, Vol.25 (4), p.2175-2181

2021

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Clustering effects of oral conditions based on clinical and radiographic examinations

Clinical oral investigations, 2020-09, Vol.24 (9), p.3001-3008

2020

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A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery

Medicina (Kaunas, Lithuania), 2022-08, Vol.58 (8), p.1059

2022

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How Do Users Respond to Mass Vaccination Centers? A Cross-Sectional Study Using Natural Language Processing on Online Reviews to Explore User Experience and Satisfaction with COVID-19 Vaccination Centers

Vaccines (Basel), 2023-01, Vol.11 (1), p.144

2023

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Impact of Image Context on Deep Learning for Classification of Teeth on Radiographs

Journal of clinical medicine, 2021-04, Vol.10 (8), p.1635

2021

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Patients' perspectives on the use of artificial intelligence in dentistry: a regional survey

Head & face medicine, 2023-06, Vol.19 (1), p.23-23, Article 23

2023

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Machine Learning in Dentistry: A Scoping Review

Journal of clinical medicine, 2023-01, Vol.12 (3), p.937

2023

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Dental service utilization in the very old: an insurance database analysis from northeast Germany

Clinical oral investigations, 2021-05, Vol.25 (5), p.2765-2777

2021

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Barriers and Enablers for Artificial Intelligence in Dental Diagnostics: A Qualitative Study

Journal of clinical medicine, 2021-04, Vol.10 (8), p.1612

2021

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Convolutional neural networks for dental image diagnostics: A scoping review

Deep Learning for the Radiographic Detection of Periodontal Bone Loss

Deep Learning for the Radiographic Detection of Apical Lesions

Precision dentistry—what it is, where it fails (yet), and how to get there

Detecting caries lesions of different radiographic extension on bitewings using deep learning

Deep learning for caries lesion detection in near-infrared light transillumination images: A pilot study

Generalizability of deep learning models for dental image analysis

Secondary caries: what is it, and how it can be controlled, detected, and managed?

Predictors for tooth loss in periodontitis patients: Systematic review and meta‐analysis

Trends in caries experience in the permanent dentition in Germany 1997-2014, and projection to 2030: Morbidity shifts in an aging society

Deep learning for caries detection: A systematic review

Deep learning for cephalometric landmark detection: systematic review and meta-analysis

Comparison of periodontitis patients’ classification in the 2018 versus 1999 classification

The impact of demographic, health-related and social factors on dental services utilization: Systematic review and meta-analysis

Predicting mortality in the very old: a machine learning analysis on claims data

Association between patient-, tooth- and treatment-level factors and root canal treatment failure: A retrospective longitudinal and machine learning study

Long-term costs of post-restorations: 7-year practice-based results from Germany

Clustering effects of oral conditions based on clinical and radiographic examinations

A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery

How Do Users Respond to Mass Vaccination Centers? A Cross-Sectional Study Using Natural Language Processing on Online Reviews to Explore User Experience and Satisfaction with COVID-19 Vaccination Centers

Impact of Image Context on Deep Learning for Classification of Teeth on Radiographs

Patients' perspectives on the use of artificial intelligence in dentistry: a regional survey

Machine Learning in Dentistry: A Scoping Review

Dental service utilization in the very old: an insurance database analysis from northeast Germany

Barriers and Enablers for Artificial Intelligence in Dental Diagnostics: A Qualitative Study

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