Developments, application, and performance of artificial intelligence in dentistry – A systematic review
Background/purpose: Artificial intelligence (AI) has made deep inroads into dentistry in the last few years. The aim of this systematic review was to identify the development of AI applications that are widely employed in dentistry and evaluate their performance in terms of diagnosis, clinical decis...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-01-01
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| Series: | Journal of Dental Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1991790220301434 |
| _version_ | 1818724496719216640 |
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| author | Sanjeev B. Khanagar Ali Al-ehaideb Prabhadevi C. Maganur Satish Vishwanathaiah Shankargouda Patil Hosam A. Baeshen Sachin C. Sarode Shilpa Bhandi |
| author_facet | Sanjeev B. Khanagar Ali Al-ehaideb Prabhadevi C. Maganur Satish Vishwanathaiah Shankargouda Patil Hosam A. Baeshen Sachin C. Sarode Shilpa Bhandi |
| author_sort | Sanjeev B. Khanagar |
| collection | DOAJ |
| description | Background/purpose: Artificial intelligence (AI) has made deep inroads into dentistry in the last few years. The aim of this systematic review was to identify the development of AI applications that are widely employed in dentistry and evaluate their performance in terms of diagnosis, clinical decision-making, and predicting the prognosis of the treatment. Materials and methods: The literature for this paper was identified and selected by performing a thorough search in the electronic data bases like PubMed, Medline, Embase, Cochrane, Google scholar, Scopus, Web of science, and Saudi digital library published over the past two decades (January 2000–March 15, 2020).After applying inclusion and exclusion criteria, 43 articles were read in full and critically analyzed. Quality analysis was performed using QUADAS-2. Results: AI technologies are widely implemented in a wide range of dentistry specialties. Most of the documented work is focused on AI models that rely on convolutional neural networks (CNNs) and artificial neural networks (ANNs). These AI models have been used in detection and diagnosis of dental caries, vertical root fractures, apical lesions, salivary gland diseases, maxillary sinusitis, maxillofacial cysts, cervical lymph nodes metastasis, osteoporosis, cancerous lesions, alveolar bone loss, predicting orthodontic extractions, need for orthodontic treatments, cephalometric analysis, age and gender determination. Conclusion: These studies indicate that the performance of an AI based automated system is excellent. They mimic the precision and accuracy of trained specialists, in some studies it was found that these systems were even able to outmatch dental specialists in terms of performance and accuracy. |
| first_indexed | 2024-12-17T21:27:21Z |
| format | Article |
| id | doaj.art-9b00b9ca2d694376865c4bad4d9b74f7 |
| institution | Directory Open Access Journal |
| issn | 1991-7902 |
| language | English |
| last_indexed | 2024-12-17T21:27:21Z |
| publishDate | 2021-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Dental Sciences |
| spelling | doaj.art-9b00b9ca2d694376865c4bad4d9b74f72022-12-21T21:31:59ZengElsevierJournal of Dental Sciences1991-79022021-01-01161508522Developments, application, and performance of artificial intelligence in dentistry – A systematic reviewSanjeev B. Khanagar0Ali Al-ehaideb1Prabhadevi C. Maganur2Satish Vishwanathaiah3Shankargouda Patil4Hosam A. Baeshen5Sachin C. Sarode6Shilpa Bhandi7Preventive Dental Science Department, College of Dentistry, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; Corresponding author. Preventive Dental Science Department, College of Dentistry, King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, Ministry of National Guard Heath Affairs, Riyadh, Saudi Arabia.Preventive Dental Science Department, College of Dentistry, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; Dental Services, King Abdulaziz Medical City- Ministry of National Guard Health Affairs, Riyadh, Saudi ArabiaDepartment of Preventive Dental Sciences, Division of Pedodontics, College of Dentistry, Jazan University, Jazan, Saudi Arabia; Corresponding author. Department of Preventive Dental Sciences, Division of Pedodontics, College of Dentistry, Jazan University, Jazan, Saudi Arabia.Department of Preventive Dental Sciences, Division of Pedodontics, College of Dentistry, Jazan University, Jazan, Saudi ArabiaDepartment of Maxillofacial Surgery and Diagnostic Sciences, Division of Oral Pathology, College of Dentistry, Jazan University, Jazan, Saudi ArabiaConsultant in Orthodontics, Department of Orthodontics, College of Dentistry, King Abdulaziz University, Jeddah, Saudi ArabiaDepartment of Oral and Maxillofacial Pathology, Dr. D.Y.Patil Dental College and Hospital, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune 411018, Maharashtra, IndiaDepartment of Restorative Dental Sciences, Division of Operative Dentistry, College of Dentistry, Jazan University, Saudi ArabiaBackground/purpose: Artificial intelligence (AI) has made deep inroads into dentistry in the last few years. The aim of this systematic review was to identify the development of AI applications that are widely employed in dentistry and evaluate their performance in terms of diagnosis, clinical decision-making, and predicting the prognosis of the treatment. Materials and methods: The literature for this paper was identified and selected by performing a thorough search in the electronic data bases like PubMed, Medline, Embase, Cochrane, Google scholar, Scopus, Web of science, and Saudi digital library published over the past two decades (January 2000–March 15, 2020).After applying inclusion and exclusion criteria, 43 articles were read in full and critically analyzed. Quality analysis was performed using QUADAS-2. Results: AI technologies are widely implemented in a wide range of dentistry specialties. Most of the documented work is focused on AI models that rely on convolutional neural networks (CNNs) and artificial neural networks (ANNs). These AI models have been used in detection and diagnosis of dental caries, vertical root fractures, apical lesions, salivary gland diseases, maxillary sinusitis, maxillofacial cysts, cervical lymph nodes metastasis, osteoporosis, cancerous lesions, alveolar bone loss, predicting orthodontic extractions, need for orthodontic treatments, cephalometric analysis, age and gender determination. Conclusion: These studies indicate that the performance of an AI based automated system is excellent. They mimic the precision and accuracy of trained specialists, in some studies it was found that these systems were even able to outmatch dental specialists in terms of performance and accuracy.http://www.sciencedirect.com/science/article/pii/S1991790220301434Artificial intelligence dentistryMachine learningComputer-aided diagnosisDeep learning modelsConvolutional neural networksArtificial neural networks |
| spellingShingle | Sanjeev B. Khanagar Ali Al-ehaideb Prabhadevi C. Maganur Satish Vishwanathaiah Shankargouda Patil Hosam A. Baeshen Sachin C. Sarode Shilpa Bhandi Developments, application, and performance of artificial intelligence in dentistry – A systematic review Journal of Dental Sciences Artificial intelligence dentistry Machine learning Computer-aided diagnosis Deep learning models Convolutional neural networks Artificial neural networks |
| title | Developments, application, and performance of artificial intelligence in dentistry – A systematic review |
| title_full | Developments, application, and performance of artificial intelligence in dentistry – A systematic review |
| title_fullStr | Developments, application, and performance of artificial intelligence in dentistry – A systematic review |
| title_full_unstemmed | Developments, application, and performance of artificial intelligence in dentistry – A systematic review |
| title_short | Developments, application, and performance of artificial intelligence in dentistry – A systematic review |
| title_sort | developments application and performance of artificial intelligence in dentistry a systematic review |
| topic | Artificial intelligence dentistry Machine learning Computer-aided diagnosis Deep learning models Convolutional neural networks Artificial neural networks |
| url | http://www.sciencedirect.com/science/article/pii/S1991790220301434 |
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