Applications, functions, and accuracy of artificial intelligence in restorative dentistry: A literature review DOI Creative Commons
Farhad Tabatabaian, Siddharth R. Vora, Shahriar Mirabbasi

et al.

Journal of Esthetic and Restorative Dentistry, Journal Year: 2023, Volume and Issue: 35(6), P. 842 - 859

Published: July 31, 2023

Abstract Objective The applications of artificial intelligence (AI) are increasing in restorative dentistry; however, the AI performance is unclear for dental professionals. purpose this narrative review was to evaluate applications, functions, and accuracy diverse aspects dentistry including caries detection, tooth preparation margin restoration design, metal structure casting, restoration/implant removable partial denture shade determination. Overview An electronic search performed on Medline/PubMed, Embase, Web Science, Cochrane, Scopus, Google Scholar databases. English‐language articles, published from January 1, 2000, March 2022, relevant aforementioned were selected using key terms intelligence, machine learning, deep neural networks, convolutional clustering, soft computing, automated planning, computational computer vision, reasoning as inclusion criteria. A manual also performed. Therefore, 157 articles included, reviewed, discussed. Conclusions Based current literature, models have shown promising mentioned when being compared with traditional approaches accuracy; these still development, more studies required validate their apply them routine clinical practice. Clinical Significance: its specific functions has successful acceptable dentistry. understanding may lead novel optimal

Language: Английский

Deep learning models in medical image analysis DOI Creative Commons
Masayuki Tsuneki

Journal of Oral Biosciences, Journal Year: 2022, Volume and Issue: 64(3), P. 312 - 320

Published: March 17, 2022

Language: Английский

Citations

131
Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis DOI Open Access
Andrej Thurzo, Wanda Urbanová, Bohušlav Novák

et al.

Healthcare, Journal Year: 2022, Volume and Issue: 10(7), P. 1269 - 1269

Published: July 8, 2022

This literature research had two main objectives. The first objective was to quantify how frequently artificial intelligence (AI) utilized in dental from 2011 until 2021. second distinguish the focus of such publications; particular, field and topic. inclusion criterium an original article or review English focused on utilization AI. All other types publications non-dental non-AI-focused were excluded. information sources Web Science, PubMed, Scopus, Google Scholar, queried 19 April 2022. search string “artificial intelligence” AND (dental OR dentistry tooth teeth dentofacial maxillofacial orofacial orthodontics endodontics periodontics prosthodontics). Following removal duplicates, all remaining returned by searches screened three independent operators minimize risk bias. analysis 2011–2021 identified 4413 records, which 1497 finally selected calculated according year publication. results confirmed a historically unprecedented boom AI publications, with average increase 21.6% per over last decade 34.9% 5 years. In achievement objective, qualitative assessment since 2021 1717 497 papers selected. this indicated relative proportions focal topics, as follows: radiology 26.36%, 18.31%, general scope 17.10%, restorative 12.09%, surgery 11.87% education 5.63%. confirms that current use is concentrated mainly around evaluation digital diagnostic methods, especially radiology; however, its implementation expected gradually penetrate parts profession.

Language: Английский

Citations

119
ChatGPT in Dentistry: A Comprehensive Review DOI Open Access

Hind M Alhaidry,

Bader Fatani,

Jenan O Alrayes

et al.

Cureus, Journal Year: 2023, Volume and Issue: unknown

Published: April 30, 2023

Chat generative pre-trained transformer (ChatGPT) is an artificial intelligence chatbot that uses natural language processing can respond to human input in a conversational manner. ChatGPT has numerous applications the health care system including dentistry; it used diagnoses and for assessing disease risk scheduling appointments. It also role scientific research. In dental field, provided many benefits such as detecting maxillofacial abnormalities on panoramic radiographs identifying different restorations. Therefore, helps decreasing workload. But even with these benefits, one should take into consideration risks limitations of this chatbot. Few articles mentioned use dentistry. This comprehensive review represents data collected from 66 relevant using PubMed Google Scholar databases. aims discuss all published

Language: Английский

Citations

78
Investigation on the Application of Artificial Intelligence in Prosthodontics DOI Creative Commons
Abdulkhaliq Ali F. Alshadidi, Ahid Amer Alshahrani, Lujain Ibrahim N. Aldosari

et al.

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(8), P. 5004 - 5004

Published: April 16, 2023

Artificial intelligence (AI) is a contemporary, information-driven innovative technology. Prosthetic dentistry, also known as prosthodontics, the restoration and reconstruction of missing teeth utilizing implants for permanent removable prostheses. It enhances healthy soft hard tissues, promoting oral health. This study examined use artificial in prosthodontics to diagnose abnormalities create patient-specific Two researchers searched Google Scholar, Scopus, PubMed/MEDLINE, EBSCO host, Science Direct, Web (MEDLINE, WOS, KJD). Articles on AI English were reviewed. We collected following broad article aspects: research control groups, assessment methodology, outcomes, quality rankings. methodological using latest scientific findings. The findings statistically evaluated ANOVA. Titles abstracts revealed 172 AI-related dentistry studies, which analyzed this research. Thirty-eight papers eliminated. According evaluation, was found have significantly increased prosthodontics. Despite vast number studies documenting applications, description data illustrated breakthroughs highlighting its automatically produced diagnostics, predicting analytics, classification or verification tools.

Language: Английский

Citations

63
Artificial Intelligence in Medicine and Dentistry DOI Creative Commons
Marin Vodanović, Marko Subašić, Denis Milošević

et al.

Acta Stomatologica Croatica, Journal Year: 2023, Volume and Issue: 57(1), P. 70 - 84

Published: March 15, 2023

Introduction: Artificial intelligence has been applied in various fields throughout history, but its integration into daily life is more recent.The first applications of AI were primarily academia and government research institutions, as technology advanced, also industry, commerce, medicine dentistry.Objective: Considering that the possibilities applying artificial are developing rapidly this field one areas with greatest increase number newly published articles, aim paper was to provide an overview literature give insight dentistry.In addition, discuss advantages disadvantages.Conclusion: The dentistry just being discovered.Artificial will greatly contribute developments dentistry, it a tool enables development progress, especially terms personalized healthcare lead much better treatment outcomes.

Language: Английский

Citations

53
Performance of the ChatGPT-3.5, ChatGPT-4, and Google Gemini large language models in responding to dental implantology inquiries DOI
Noha Taymour, Shaimaa M. Fouda,

Hams H. Abdelrahaman

et al.

Journal of Prosthetic Dentistry, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

2
The relationships of personality traits on perceptions and attitudes of dentistry students towards AI DOI Creative Commons
Furkan Özbey, Yasin Yaşa

BMC Medical Education, Journal Year: 2025, Volume and Issue: 25(1)

Published: Jan. 6, 2025

Artificial intelligence (AI) has gained significant attention in dentistry due to its potential revolutionize practice and improve patient outcomes. However, dentists' views attitudes toward technology can affect the application of AI. This perception attitude be affected by personality traits individuals. study aims evaluate perceptions students cross-sectional was conducted on dental at Ordu University Faculty Dentistry, involving a sample 83 students. The utilized Big Five 50 Test 5-point Likert scale gather data 20 statements regarding AI dentistry. Data were analyzed using IBM SPSS Statistics software, chi-square test employed assess relationship between their towards artificial intelligence, as well gender intelligence. Statistical significance set P < 0.05. involved participants, with 29 male 54 female participants. most common Openness Agreeableness, whereas least Extraversion. Participants found useful believed it could help dentists radiographs. agreed statement that they would trust more than dentist evaluating radiograph results. A statistically difference personal expressions comparing Males familiar females. vary based traits. Developing educational strategies tailored these foster positive integration into practice.

Language: Английский

Citations

2
Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine DOI Creative Commons
Habiba Abdelhalim,

Asude Berber,

Mudassir Lodi

et al.

Frontiers in Genetics, Journal Year: 2022, Volume and Issue: 13

Published: July 6, 2022

Precision medicine has greatly aided in improving health outcomes using earlier diagnosis and better prognosis for chronic diseases. It makes use of clinical data associated with the patient as well their multi-omics/genomic to reach a conclusion regarding how physician should proceed specific treatment. Compared symptom-driven approach medicine, precision considers critical fact that all patients do not react same treatment or medication way. When considering intersection traditionally distinct arenas is, artificial intelligence, healthcare, genomics, pharmacogenomics-what ties them together is impact on development field they each contribute patient-specific, rather than symptom-specific outcomes. This study discusses integration these different fields scope can be used preventing predicting acute Additionally, this also advantages current challenges pharmacogenomics.

Language: Английский

Citations

49
Application and Performance of Artificial Intelligence Technology in Detection, Diagnosis and Prediction of Dental Caries (DC)—A Systematic Review DOI Creative Commons
Sanjeev B. Khanagar, Khalid Alfouzan, Mohammed Awawdeh

et al.

Diagnostics, Journal Year: 2022, Volume and Issue: 12(5), P. 1083 - 1083

Published: April 26, 2022

Evolution in the fields of science and technology has led to development newer applications based on Artificial Intelligence (AI) that have been widely used medical sciences. AI-technology employed a wide range related diagnosis oral diseases demonstrated phenomenal precision accuracy their performance. The aim this systematic review is report diagnostic performance AI-based models designed for detection, diagnosis, prediction dental caries (DC). Eminent electronic databases (PubMed, Google scholar, Scopus, Web science, Embase, Cochrane, Saudi Digital Library) were searched relevant articles published from January 2000 until February 2022. A total 34 met selection criteria critically analyzed QUADAS-2 guidelines. certainty evidence included studies was assessed using GRADE approach. AI applied DC, detection DC classification DC. These excellent can be clinical practice enhancing performance, treatment quality patient outcome also identify patients with higher risk developing

Language: Английский

Citations

43
Artificial intelligence for medicine: Progress, challenges, and perspectives DOI Creative Commons
Tao Huang, Huiyu Xu, Haitao Wang

et al.

The Innovation Medicine, Journal Year: 2023, Volume and Issue: 1(2), P. 100030 - 100030

Published: Jan. 1, 2023

<p>Artificial Intelligence (AI) has transformed how we live and think, it will change practice medicine. With multimodal big data, can develop large medical models that enables what used to unimaginable, such as early cancer detection several years in advance effective control of virus outbreaks without imposing social burdens. The future is promising, are witnessing the advancement. That said, there challenges cannot be overlooked. For example, data generated often isolated difficult integrate from both perspectives ownership fusion algorithms. Additionally, existing AI treated black boxes, resulting vague interpretation results. Patients also exhibit a lack trust applications, insufficient regulations protect patients�� privacy rights. However, with advancement technologies, more sophisticated algorithms federated learning, may overcome barriers posed by silos. Deeper understanding human brain network structures help unravel mysteries neural networks construct transparent yet powerful models. It become something trend an increasing number clinicians patients implement their life practice, which turn generate improve performance networks. Last but not least, crucial monitor medicine ensure its equity, security, responsibility.</p>

Language: Английский

Citations

33