Application and performance of artificial intelligence technology in forensic odontology – A systematic review

Objectives: To investigate the current clinical applications and diagnostic performance of artificial intelligence (AI) in dental and maxillofacial radiology (DMFR). Methods: Studies using applications related to DMFR to develop or implement AI models were sought by searching five electronic databases and four selected core journals in the field of DMFR. The customized assessment criteria based on QUADAS-2 were adapted for quality analysis of the studies included. Results: The initial electronic search yielded 1862 titles, and 50 studies were eventually included. Most studies focused on AI applications for an automated localization of cephalometric landmarks, diagnosis of osteoporosis, classification/segmentation of maxillofacial cysts and/or tumors, and identification of periodontitis/periapical disease. The performance of AI models varies among different algorithms. Conclusion: The AI models proposed in the studies included exhibited wide clinical applications in DMFR. Nevertheless, it is still necessary to further verify the reliability and applicability of the AI models prior to transferring these models into clinical practice.

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Research on the Impact of Innovation Input on Artificial Intelligence Technology Empowerment and Performance of Manufacturing Enterprises

10.1109/eimss53851.2021.00134 ◽

2021 ◽

Author(s):

Fansheng Meng ◽

Bing Han

Keyword(s):

Artificial Intelligence ◽

Manufacturing Enterprises ◽

Artificial Intelligence Technology ◽

And Performance ◽

The Impact

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Current Approaches to the Use of Artificial Intelligence for Injury Risk Assessment and Performance Prediction in Team Sports: a Systematic Review

Sports Medicine - Open ◽

10.1186/s40798-019-0202-3 ◽

2019 ◽

Vol 5 (1) ◽

Cited By ~ 16

Author(s):

João Gustavo Claudino ◽

Daniel de Oliveira Capanema ◽

Thiago Vieira de Souza ◽

Julio Cerca Serrão ◽

Adriano C. Machado Pereira ◽

...

Keyword(s):

Artificial Intelligence ◽

Systematic Review ◽

Risk Assessment ◽

Performance Prediction ◽

Injury Risk ◽

Team Sports ◽

And Performance

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The Application of Artificial Intelligence Technology in Healthcare: A Systematic Review

Communications in Computer and Information Science - Applied Computing to Support Industry: Innovation and Technology ◽

10.1007/978-3-030-38752-5_20 ◽

2020 ◽

pp. 248-261

Author(s):

Mohamed Alloghani ◽

Dhiya Al-Jumeily ◽

Ahmed J. Aljaaf ◽

Mohammed Khalaf ◽

Jamila Mustafina ◽

...

Keyword(s):

Artificial Intelligence ◽

Systematic Review ◽

Artificial Intelligence Technology

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Application and Performance of Artificial Intelligence Technology in Oral Cancer Diagnosis and Prediction of Prognosis: A Systematic Review

Diagnostics ◽

10.3390/diagnostics11061004 ◽

2021 ◽

Vol 11 (6) ◽

pp. 1004

Author(s):

Sanjeev B. Khanagar ◽

Sachin Naik ◽

Abdulaziz Abdullah Al Kheraif ◽

Satish Vishwanathaiah ◽

Prabhadevi C. Maganur ◽

...

Keyword(s):

Artificial Intelligence ◽

Oral Cancer ◽

Cox Regression ◽

Eligibility Criteria ◽

Cox Regression Analysis ◽

Electronic Search ◽

Clinical Strategies ◽

Artificial Intelligence Technology ◽

And Performance ◽

Prediction Of Prognosis

Oral cancer (OC) is a deadly disease with a high mortality and complex etiology. Artificial intelligence (AI) is one of the outstanding innovations in technology used in dental science. This paper intends to report on the application and performance of AI in diagnosis and predicting the occurrence of OC. In this study, we carried out data search through an electronic search in several renowned databases, which mainly included PubMed, Google Scholar, Scopus, Embase, Cochrane, Web of Science, and the Saudi Digital Library for articles that were published between January 2000 to March 2021. We included 16 articles that met the eligibility criteria and were critically analyzed using QUADAS-2. AI can precisely analyze an enormous dataset of images (fluorescent, hyperspectral, cytology, CT images, etc.) to diagnose OC. AI can accurately predict the occurrence of OC, as compared to conventional methods, by analyzing predisposing factors like age, gender, tobacco habits, and bio-markers. The precision and accuracy of AI in diagnosis as well as predicting the occurrence are higher than the current, existing clinical strategies, as well as conventional statistics like cox regression analysis and logistic regression.

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The Use and Performance of Artificial Intelligence in Prosthodontics: A Systematic Review

Sensors ◽

10.3390/s21196628 ◽

2021 ◽

Vol 21 (19) ◽

pp. 6628

Author(s):

Selina A. Bernauer ◽

Nicola U. Zitzmann ◽

Tim Joda

Keyword(s):

Artificial Intelligence ◽

Systematic Review ◽

Dental Treatment ◽

Inclusion Criteria ◽

Patient Centered ◽

Manual Search ◽

Digital Development ◽

Rapid Pace ◽

And Performance ◽

Identification Tool

(1) Background: The rapid pace of digital development in everyday life is also reflected in dentistry, including the emergence of the first systems based on artificial intelligence (AI). This systematic review focused on the recent scientific literature and provides an overview of the application of AI in the dental discipline of prosthodontics. (2) Method: According to a modified PICO-strategy, an electronic (MEDLINE, EMBASE, CENTRAL) and manual search up to 30 June 2021 was carried out for the literature published in the last five years reporting the use of AI in the field of prosthodontics. (3) Results: 560 titles were screened, of which 30 abstracts and 16 full texts were selected for further review. Seven studies met the inclusion criteria and were analyzed. Most of the identified studies reported the training and application of an AI system (n = 6) or explored the function of an intrinsic AI system in a CAD software (n = 1). (4) Conclusions: While the number of included studies reporting the use of AI was relatively low, the summary of the obtained findings by the included studies represents the latest AI developments in prosthodontics demonstrating its application for automated diagnostics, as a predictive measure, and as a classification or identification tool. In the future, AI technologies will likely be used for collecting, processing, and organizing patient-related datasets to provide patient-centered, individualized dental treatment.

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Image Search System Based on Machine Learning

Journal of Physics Conference Series ◽

10.1088/1742-6596/2146/1/012026 ◽

2022 ◽

Vol 2146 (1) ◽

pp. 012026

Author(s):

HongLin Wang

Keyword(s):

Artificial Intelligence ◽

Network Communication ◽

Test Results ◽

Search System ◽

Communication Platform ◽

Face To Face ◽

Teacher Student ◽

Artificial Intelligence Technology ◽

And Performance

Abstract Since the 21st century, with the continuous maturity of network technology and its integration with the education field, traditional face-to-face communication has gradually expanded to the virtual network environment. In the online learning environment, students can use the online platform to communicate directly with teachers, no longer limited by time and region. The time and space breakthrough of teacher-student interaction has brought development opportunities for teachers to constantly contact students with a long-term management mechanism. Based on this situation, this article uses artificial intelligence technology to build a network communication platform. This article first analyzes the application status of artificial intelligence technology in the network communication platform, and then introduces the artificial intelligence technology applied in this article. Then, this article uses artificial intelligence technology to design a network communication platform, and test the function and performance of the platform. The test results show that the function of the system is very accurate and reliable, and the performance of the system is sufficient to support nearly 10,000 users at the same time.

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