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Application of artificial intelligence in the dental field: A literature review
- Source :
- Journal of Prosthodontic Research. 66:19-28
- Publication Year :
- 2022
- Publisher :
- Japan Prosthodontic Society, 2022.
-
Abstract
- Purpose The purpose of this study was to comprehensively review the literature regarding the application of artificial intelligence (AI) in the dental field,focusing on the evaluation criteria and architecture types. Study selection Electronic databases (PubMed, Cochrane Library, Scopus) were searched. Full-text articles describing the clinical application of AI for the detection, diagnosis, and treatment of lesions and the AI method/architecture were included. Results The primary search presented 422 studies from 1996 to 2019, and 58 studies were finally selected. Regarding the year of publication, the oldest study, which was reported in 1996, focused on "oral and maxillofacial surgery." Machine-learning architectures were employed in the selected studies, while approximately half of them (29/58) employed neural networks. Regarding the evaluation criteria, eight studies compared the results obtained by AI with the diagnoses formulated by dentists, while several studies compared two or more architectures in terms of performance. The following parameters were employed for evaluating the AI performance: accuracy, sensitivity, specificity, mean absolute error, root mean squared error, and area under the receiver operating characteristic curve. Conclusions Application of AI in the dental field has progressed; however, the criteria for evaluating the efficacy of AI have not been clarified. It is necessary to obtain better quality data for machine learning to achieve the effective diagnosis of lesions and suitable treatment planning.
- Subjects :
- Artificial neural network
Mean squared error
Receiver operating characteristic
business.industry
Computer science
0206 medical engineering
030206 dentistry
02 engineering and technology
Cochrane Library
020601 biomedical engineering
Field (computer science)
03 medical and health sciences
0302 clinical medicine
Artificial Intelligence
Data quality
Oral and maxillofacial surgery
Dentistry (miscellaneous)
Artificial intelligence
Oral Surgery
Medical diagnosis
business
Subjects
Details
- ISSN :
- 18839207 and 18831958
- Volume :
- 66
- Database :
- OpenAIRE
- Journal :
- Journal of Prosthodontic Research
- Accession number :
- edsair.doi.dedup.....184e54fc3727c609e52c5de3a46f26cc