Table 5.
The most impactful AI publications in dentistry.
| Title | Author | Journal | Year |
|---|---|---|---|
| Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm [76] | Lee, Jae-Hong; et al. | JOURNAL OF DENTISTRY | 2018 |
| Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm [77] | Lee, Jae-Hong; et al. | JOURNAL OF PERIODONTAL AND IMPLANT SCIENCE | 2018 |
| Deep Learning for the Radiographic Detection of Apical Lesions [78] | Ekert, Thomas; et al. | JOURNAL OF ENDODONTICS | 2019 |
| Convolutional neural networks for dental image diagnostics: A scoping review [79] | Schwendicke, Falk; et al. | JOURNAL OF DENTISTRY | 2019 |
| Artificial Intelligence in Dentistry: Chances and Challenges [25] | Schwendicke, F.; et al. | JOURNAL OF DENTAL RESEARCH |
2020 |
| An overview of deep learning in the field of dentistry [80] | Hwang, Jae-Joon; et al. | IMAGING SCIENCE IN DENTISTRY |
2019 |
| Deep learning in medical image analysis: A third eye for doctors [81] | Fourcade, A.; Khonsari, R. H. | JOURNAL OF STOMATOLOGY ORAL AND MAXILLOFACIAL SURGERY | 2019 |
| A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography [82] | Hiraiwa, Teruhiko; et al. | DENTOMAXILLOFACIAL RADIOLOGY |
2019 |
| Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography [83] | Murata, Makoto; et al. | ORAL RADIOLOGY | 2019 |
| Staging and grading of oral squamous cell carcinoma: An update [84] | Almangush, Alhadi; et al. | ORAL ONCOLOGY | 2020 |