Table 2.
Artificial intelligence applications using dentomaxillofacial imaging data
| Category | Artificial intelligence application |
|---|---|
| Dental caries | Detection of dental caries 18–21 |
| Periodontal evaluation | Detection of periodontal bone loss 22,23 |
| Measurement and staging of periodontal bone loss 24,25 | |
| Classification of periodontitis stages 26,27 | |
| Identification of periodontally compromised teeth 28,29 | |
| Endodontic evaluation | Detection, classification, and measurement of apical pathologies 30,31 |
| Detection of vertical root fractures 32,33 | |
| Detection 34 and classification 35,36 of C-shaped canals | |
| Dental implants | Detection of peri-implant bone loss 37 |
| Measurement of the peri-implant bone loss ratio and classification of the bone loss severity 38 | |
| Detection of the edentulous sites, nasal fossa, maxillary sinus, and mandibular canal, and measurement of the heights and widths of residual alveolar bone at the edentulous sites 39 | |
| Classification of dental implant systems 40–42 | |
| Detection and classification of dental implant fractures 43 | |
| Third molars | Classification of positional relationships between lower third molars and the mandibular canal 44–46 |
| Prediction of extraction difficulty for lower third molars 47 | |
| Prediction of paresthesia after third molar extraction 48 | |
| Radiolucent lesions in the jaws | Detection and segmentation of infections, granuloma, cysts, and tumors in the jaws 49 |
| Detection of ameloblastomas and odontogenic keratocysts 50 | |
| Detection/classification of ameloblastomas, odontogenic keratocysts, dentigerous cysts, radicular cysts, and/or bone cysts in the maxilla/mandible 51,52 | |
| Differentiation of Stafne’s bone cavity from mandibular radiolucent lesions 53 | |
| Maxillary sinus | Detection of maxillary sinus lesions 54,55 |
| Detection and segmentation of maxillary sinus lesions 56,57 | |
| Prediction of oroantral communication after tooth extraction 58 | |
| Orthodontic and orthognathic evaluation | Localization of cephalometric landmarks 59–64 |
| Classification of skeletal malocclusion 65–67 | |
| Assessment of facial symmetry before and after orthognathic surgery 68 | |
| Temporomandibular joint | Diagnosis of temporomandibular joint osteoarthritis 69 |
| Diagnosis of mandibular condyle fractures 70 | |
| Measurement of the cortical thickness of mandibular condyle head 71 | |
| Maxillofacial fracture | Detection and classification of mandibular fracture 72 |
| Sialoliths | Detection of submandibular gland sialoliths 73 |
| Osteoporosis | Diagnosis and prediction of osteoporosis 74,75 |
| Sjögren’s syndrome | Diagnosis of Sjögren’s syndrome 76 |
| Lymph node metastasis | Segmentation and identification of metastatic cervical lymph nodes 77 |
| Reporting of the dental status | Segmentation of teeth and jaws, numbering of teeth, detection of caries, periapical lesions, and periodontitis 78 |
| Identification of missing tooth, caries, filling, prosthetic restoration, endodontically treated tooth, residual root, periapical lesion, and periodontal bone loss 79 | |
| Tooth numbering and detection of dental implants, prosthetic crowns, fillings, root remnants, and root canal treatment 80 | |
| Detection, segmention, and labeling of teeth, crowns, fillings, root canal fillings, implants, and root remnants 81,82 | |
| Tooth detection and numbering 83,84 | |
| Tooth segmentation and classification 85,86 | |
| Image quality improvement | Correction of blurred panoramic radiographic images 87 |
| Reduction of metal artifacts on CBCT images 88 | |
| Improvement of the resolution of CT/CBCT images 89–91 | |
| Multimodal image registration | Registration of CBCT with intra oral scan, 92 optical dental model scan, 93 or MRI 94 |