Literature DB >> 33118431

Application of Artificial Intelligence in Dentistry.

T Shan1, F R Tay2, L Gu1.   

Abstract

Artificial intelligence (AI) is a technology that utilizes machines to mimic intelligent human behavior. To appreciate human-technology interaction in the clinical setting, augmented intelligence has been proposed as a cognitive extension of AI in health care, emphasizing its assistive and supplementary role to medical professionals. While truly autonomous medical robotic systems are still beyond reach, the virtual component of AI, known as software-type algorithms, is the main component used in dentistry. Because of their powerful capabilities in data analysis, these virtual algorithms are expected to improve the accuracy and efficacy of dental diagnosis, provide visualized anatomic guidance for treatment, simulate and evaluate prospective results, and project the occurrence and prognosis of oral diseases. Potential obstacles in contemporary algorithms that prevent routine implementation of AI include the lack of data curation, sharing, and readability; the inability to illustrate the inner decision-making process; the insufficient power of classical computing; and the neglect of ethical principles in the design of AI frameworks. It is necessary to maintain a proactive attitude toward AI to ensure its affirmative development and promote human-technology rapport to revolutionize dental practice. The present review outlines the progress and potential dental applications of AI in medical-aided diagnosis, treatment, and disease prediction and discusses their data limitations, interpretability, computing power, and ethical considerations, as well as their impact on dentists, with the objective of creating a backdrop for future research in this rapidly expanding arena.

Entities:  

Keywords:  big data; clinical decision making; dental; informatics; machine learning; neural networks

Year:  2020        PMID: 33118431     DOI: 10.1177/0022034520969115

Source DB:  PubMed          Journal:  J Dent Res        ISSN: 0022-0345            Impact factor:   6.116


  19 in total

1.  Development of a multi-stage model for intelligent and quantitative appraising of skeletal maturity using cervical vertebras cone-beam CT images of Chinese girls.

Authors:  Lizhe Xie; Wen Tang; Iman Izadikhah; Zhenqi Zhao; Yang Zhao; Hu Li; Bin Yan
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-01-04       Impact factor: 2.924

2.  Performance of a Convolutional Neural Network- Based Artificial Intelligence Algorithm for Automatic Cephalometric Landmark Detection.

Authors:  Mehmet Uğurlu
Journal:  Turk J Orthod       Date:  2022-06

3.  Analysis of Advances in Research Trends in Robotic and Digital Dentistry: An Original Research.

Authors:  P Ravi Kumar; Kolla Venkata Ravindranath; V Srilatha; Mohammed A Alobaoid; Manisha Mangesh Kulkarni; Tony Mathew; Heena Dixit Tiwari
Journal:  J Pharm Bioallied Sci       Date:  2022-07-13

Review 4.  Artificial intelligence in medico-dental diagnostics of the face: a narrative review of opportunities and challenges.

Authors:  Raphael Patcas; Michael M Bornstein; Marc A Schätzle; Radu Timofte
Journal:  Clin Oral Investig       Date:  2022-09-24       Impact factor: 3.606

5.  Artificial Intelligence-Based Prediction of Oroantral Communication after Tooth Extraction Utilizing Preoperative Panoramic Radiography.

Authors:  Andreas Vollmer; Babak Saravi; Michael Vollmer; Gernot Michael Lang; Anton Straub; Roman C Brands; Alexander Kübler; Sebastian Gubik; Stefan Hartmann
Journal:  Diagnostics (Basel)       Date:  2022-06-06

6.  Artificial Intelligence in Fractured Dental Implant Detection and Classification: Evaluation Using Dataset from Two Dental Hospitals.

Authors:  Dong-Woon Lee; Sung-Yong Kim; Seong-Nyum Jeong; Jae-Hong Lee
Journal:  Diagnostics (Basel)       Date:  2021-02-03

Review 7.  The Modern and Digital Transformation of Oral Health Care: A Mini Review.

Authors:  Muhammad Syafiq Alauddin; Ahmad Syukran Baharuddin; Mohd Ifwat Mohd Ghazali
Journal:  Healthcare (Basel)       Date:  2021-01-25

8.  Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians.

Authors:  Anh Quynh Tran; Long Hoang Nguyen; Hao Si Anh Nguyen; Cuong Tat Nguyen; Linh Gia Vu; Melvyn Zhang; Thuc Minh Thi Vu; Son Hoang Nguyen; Bach Xuan Tran; Carl A Latkin; Roger C M Ho; Cyrus S H Ho
Journal:  Front Public Health       Date:  2021-11-26

9.  Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry-A Systematic Review.

Authors:  Naseer Ahmed; Maria Shakoor Abbasi; Filza Zuberi; Warisha Qamar; Mohamad Syahrizal Bin Halim; Afsheen Maqsood; Mohammad Khursheed Alam
Journal:  Biomed Res Int       Date:  2021-06-22       Impact factor: 3.411

10.  Artificial Intelligence Application in Assessment of Panoramic Radiographs.

Authors:  Łukasz Zadrożny; Piotr Regulski; Katarzyna Brus-Sawczuk; Marta Czajkowska; Laszlo Parkanyi; Scott Ganz; Eitan Mijiritsky
Journal:  Diagnostics (Basel)       Date:  2022-01-17
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.