scholarly journals Developments, application, and performance of artificial intelligence in dentistry – A systematic review

2021 ◽  
Vol 16 (1) ◽  
pp. 508-522
Author(s):  
Sanjeev B. Khanagar ◽  
Ali Al-ehaideb ◽  
Prabhadevi C. Maganur ◽  
Satish Vishwanathaiah ◽  
Shankargouda Patil ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
And Performance

scholarly journals The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review

2020 ◽  
Vol 49 (1) ◽  
pp. 20190107 ◽  
Author(s):  
Kuofeng Hung ◽  
Carla Montalvao ◽  
Ray Tanaka ◽  
Taisuke Kawai ◽  
Michael M. Bornstein
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Clinical Practice ◽  
Diagnostic Performance ◽  
Clinical Applications ◽  
Quality Analysis ◽  
Maxillofacial Radiology ◽  
Diagnosis Of Osteoporosis ◽  
Electronic Search ◽  
And Performance

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.

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

2019 ◽  
Vol 5 (1) ◽  
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

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

Sensors ◽  
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.

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

2021 ◽  
Vol 48 ◽  
pp. 101826
Author(s):  
Sanjeev B. Khanagar ◽  
Satish Vishwanathaiah ◽  
Sachin Naik ◽  
Abdulaziz A. Al-Kheraif ◽  
Darshan Devang Divakar ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Forensic Odontology ◽  
Artificial Intelligence Technology ◽  
And Performance

scholarly journals Augmented Reality, Virtual Reality and Artificial Intelligence in Orthopedic Surgery: A Systematic Review

2021 ◽  
Vol 11 (7) ◽  
pp. 3253
Author(s):  
Umile Giuseppe Longo ◽  
Sergio De Salvatore ◽  
Vincenzo Candela ◽  
Giuliano Zollo ◽  
Giovanni Calabrese ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Virtual Reality ◽  
Augmented Reality ◽  
Orthopaedic Surgery ◽  
Resident Training ◽  
Comprehensive Search ◽  
Virtual And Augmented Reality ◽  
Orthopaedic Training ◽  
Meta Analyses

Background: The application of virtual and augmented reality technologies to orthopaedic surgery training and practice aims to increase the safety and accuracy of procedures and reducing complications and costs. The purpose of this systematic review is to summarise the present literature on this topic while providing a detailed analysis of current flaws and benefits. Methods: A comprehensive search on the PubMed, Cochrane, CINAHL, and Embase database was conducted from inception to February 2021. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to improve the reporting of the review. The Cochrane Risk of Bias Tool and the Methodological Index for Non-Randomized Studies (MINORS) was used to assess the quality and potential bias of the included randomized and non-randomized control trials, respectively. Results: Virtual reality has been proven revolutionary for both resident training and preoperative planning. Thanks to augmented reality, orthopaedic surgeons could carry out procedures faster and more accurately, improving overall safety. Artificial intelligence (AI) is a promising technology with limitless potential, but, nowadays, its use in orthopaedic surgery is limited to preoperative diagnosis. Conclusions: Extended reality technologies have the potential to reform orthopaedic training and practice, providing an opportunity for unidirectional growth towards a patient-centred approach.

Embodying algorithms, enactive artificial intelligence and the extended cognition: You can see as much as you know about algorithm

2021 ◽  
pp. 016555152098549
Author(s):  
Donghee Shin
Keyword(s):  
Artificial Intelligence ◽  
Embodied Cognition ◽  
Cognitive Processes ◽  
Process Model ◽  
Extended Cognition ◽  
Dual Process ◽  
Personalized Recommendation ◽  
Normative Values ◽  
And Performance ◽  
Concise Guide

The recent proliferation of artificial intelligence (AI) gives rise to questions on how users interact with AI services and how algorithms embody the values of users. Despite the surging popularity of AI, how users evaluate algorithms, how people perceive algorithmic decisions, and how they relate to algorithmic functions remain largely unexplored. Invoking the idea of embodied cognition, we characterize core constructs of algorithms that drive the value of embodiment and conceptualizes these factors in reference to trust by examining how they influence the user experience of personalized recommendation algorithms. The findings elucidate the embodied cognitive processes involved in reasoning algorithmic characteristics – fairness, accountability, transparency, and explainability – with regard to their fundamental linkages with trust and ensuing behaviors. Users use a dual-process model, whereby a sense of trust built on a combination of normative values and performance-related qualities of algorithms. Embodied algorithmic characteristics are significantly linked to trust and performance expectancy. Heuristic and systematic processes through embodied cognition provide a concise guide to its conceptualization of AI experiences and interaction. The identified user cognitive processes provide information on a user’s cognitive functioning and patterns of behavior as well as a basis for subsequent metacognitive processes.

Sign in / Sign up

Export Citation Format

Share Document