Artificial intelligence in dentistry: awareness among dentists and computer scientists.
Objectives: For clinical application of artificial intelligence (AI) in dentistry, collaboration with computer scientists is necessary. This study aims to evaluate the knowledge of dentists and computer scientists regarding the utilization of AI in dentistry, especially in dentomaxillofacial radiolo...
| Publicado en: | Oral Radiology Vol. 41; no. 4; pp. 532 - 543 |
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| Autores principales: | , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187863186&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187863186 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09116028 1P9 jtl: Oral Radiology issn: 09116028 maglogo: N pubinfo: dt: Oct2025 vid: 41 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 187863186 185183459 187863186 187863186 10.1007/s11282-025-00828-z 187863186 ppf: 532 ppct: 11 formats: tig: atl: Artificial intelligence in dentistry: awareness among dentists and computer scientists. aug: au: Costa, Eliana Dantas Vieira, Marcela Amanda Ambrosano, Glaucia Maria Bovi Gaêta-Araujo, Hugo Carneiro, José Andery Zancan, Breno Augusto Guerra Scaranti, Alexander Macedo, Alessandra Alaniz Tirapelli, Camila affil: https://ror.org/036rp1748 Department of Dental Materials and Prosthodontics, School of Dentistry of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil sug: subj: Artificial Intelligence Utilization Dentistry Dentists Professional Knowledge Scientists Computers and Computerization Collaboration Radiography, Dental Maxilla Radiography Face Radiography Human Male Female Adolescence Adult Middle Age Aged Surveys Summated Rating Scaling Descriptive Statistics Mann-Whitney U Test Radiology Service Employment Job Market Curriculum Development Questionnaires Medical Informatics Comparative Studies Cross Sectional Studies Dentist Attitudes Computer Literacy Data Security Information Needs Social Media Program Implementation Funding Source Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Objectives: For clinical application of artificial intelligence (AI) in dentistry, collaboration with computer scientists is necessary. This study aims to evaluate the knowledge of dentists and computer scientists regarding the utilization of AI in dentistry, especially in dentomaxillofacial radiology. Methods: 610 participants (374 dentists and 236 computer scientists) took part in a survey about AI in dentistry and radiographic imaging. Response options contained Likert scale of agreement/disagreement. Descriptive analyses of agreement scores were performed using quartiles (minimum value, first quartile, median, third quartile, and maximum value). Non-parametric Mann–Whitney test was used to compare response scores between two categories (α = 5%). Results: Dentists academics had higher agreement scores for the questions: "knowing the applications of AI in dentistry", "dentists taking the lead in AI research", "AI education should be part of teaching", "AI can increase the price of dental services", "AI can lead to errors in radiographic diagnosis", "AI can negatively interfere with the choice of Radiology specialty", "AI can cause a reduction in the employment of radiologists", "patient data can be hacked using AI" (p < 0.05). Computer scientists had higher concordance scores for the questions "having knowledge in AI" and "AI's potential to speed up and improve radiographic diagnosis". Conclusion: Although dentists acknowledge the potential benefits of AI in dentistry, they remain skeptical about its use and consider it important to integrate the topic of AI into dental education curriculum. On the other hand, computer scientists confirm technical expertise in AI and recognize its potential in dentomaxillofacial radiology. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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