Table 2.
Number of studies in each field of dentistry, stratified by type of machine learning task (n = 168).
| Classification Task | Object Detection Task | Semantic Segmentation Task | Instance Segmentation Task | Generation Task | |
|---|---|---|---|---|---|
| n | 85 | 22 | 37 | 19 | 5 |
| Field of dentistry, n (%) | |||||
| Restorative dentistry and endodontics | 13 (15%) | 1 (4%) | 9 (24%) | 2 (11%) | 0 (0%) |
| Oral medicine | 19 (22%) | 5 (23%) | 1 (3%) | 0 (0%) | 0 (0%) |
| Oral radiology | 3 (4%) | 0 (0%) | 2 (5%) | 2 (11%) | 4 (80%) |
| Orthodontics | 10 (12%) | 3 (14%) | 1 (3%) | 3 (15%) | 1 (20%) |
| Oral surgery and implantology | 11 (13%) | 3 (14%) | 3 (8%) | 0 (0%) | 0 (0%) |
| Periodontology | 9 (11%) | 2 (9%) | 7 (19%) | 1 (5%) | 0 (0%) |
| Prosthodontics | 2 (2%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Others (non-specific field, general dentistry) | 18 (21%) | 8 (36%) | 14 (38%) | 11 (58%) | 0 (0%) |