{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T15:29:49Z","timestamp":1771514989997,"version":"3.50.1"},"reference-count":34,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2025,7,16]],"date-time":"2025-07-16T00:00:00Z","timestamp":1752624000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Sciences"],"abstract":"<jats:p>Background: The integration of digital imaging tools in dentistry has transformed clinical workflows, diagnostic accuracy, and patient outcomes. However, less attention has been given to how these tools influence dentists\u2019 self-reported outcomes, including clinical confidence, efficiency, perceived treatment quality, communication, and professional satisfaction. This article aimed at assessing AI-powered digital tools in dentistry and their self-reported impact on dental practitioners\u2019 activity and treatment outcomes. Methods: A comprehensive survey was distributed to 126 dental professionals of different genders, ages, years of experience, and types of dental practice to assess their experiences and attitudes towards AI applications in diagnostics and treatment planning, as well as how patients and dentists perceive the benefits and challenges associated with digital dentistry. Results: Digital photographs and CBCT were regarded as essential tools to have in clinical practice, in contrast with intraoral scanners. However, barriers like high initial costs, specialty differences, and lack of formal training may influence the results. Conclusion: These findings suggest that when used appropriately, AI digital tools can significantly elevate the quality of clinical practice and professional fulfillment and underscore the importance of tailored training programs and supportive infrastructures to facilitate the effective integration of digital technologies in dental practice.<\/jats:p>","DOI":"10.3390\/app15147943","type":"journal-article","created":{"date-parts":[[2025,7,16]],"date-time":"2025-07-16T15:48:22Z","timestamp":1752680902000},"page":"7943","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The Impact of Digital Imaging Tools and Artificial Intelligence on Self-Reported Outcomes of Dentists"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1207-8222","authenticated-orcid":false,"given":"Hossam","family":"Dawa","sequence":"first","affiliation":[{"name":"IA&Sa\u00fade\u2014Unidade de Investiga\u00e7\u00e3o em Intelig\u00eancia Artificial e Sa\u00fade, Instituto Polit\u00e9cnico de Sa\u00fade do Norte, CESPU, Rua Jos\u00e9 Ant\u00f3nio Vidal, 81, 4760-409 Famalic\u00e3o, Portugal"},{"name":"UNIPRO\u2014Oral Pathology and Rehabilitation Research Unit, University Institute of Health Science (IUCS), CESPU, Avenida Central de Gandra, 1317, 4585-116 Gandra, Portugal"}]},{"given":"Juliana","family":"No-Cortes","sequence":"additional","affiliation":[{"name":"Faculty of Dental Surgery, University of Malta, MSD 2080 Msida, Malta"}]},{"given":"Miguel","family":"Pe\u00f1arrocha-Diago","sequence":"additional","affiliation":[{"name":"Department of Oral Surgery, School of Medicine and Dentistry, University of Valencia, 46010 Valencia, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8456-7773","authenticated-orcid":false,"given":"Henrique","family":"Vicente","sequence":"additional","affiliation":[{"name":"Departamento de Qu\u00edmica e Bioqu\u00edmica, Escola de Ci\u00eancias e Tecnologia, Universidade de \u00c9vora, Rua Rom\u00e3o Ramalho, 59, 7000-671 \u00c9vora, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2129-6333","authenticated-orcid":false,"given":"Carlos","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"UNIPRO\u2014Oral Pathology and Rehabilitation Research Unit, University Institute of Health Science (IUCS), CESPU, Avenida Central de Gandra, 1317, 4585-116 Gandra, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6591-7256","authenticated-orcid":false,"given":"Arthur Rodriguez Gonzalez","family":"Cortes","sequence":"additional","affiliation":[{"name":"Faculty of Dental Surgery, University of Malta, MSD 2080 Msida, Malta"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,16]]},"reference":[{"key":"ref_1","first-page":"e53300","article-title":"The Digital Era Heralds a Paradigm Shift in Dentistry: A Cross-Sectional Study","volume":"16","author":"Suganna","year":"2024","journal-title":"Cureus"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.dental.2011.10.014","article-title":"The Future of Dental Devices Is Digital","volume":"28","year":"2012","journal-title":"Dent. Mater."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Cortes, A.R.G. (2022). Digital Dentistry: A Step-By-Step Guide and Case Atlas, Wiley Blackwell. [1st ed.].","DOI":"10.1002\/9781119852025"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"e17793","DOI":"10.7717\/peerj.17793","article-title":"Revolutionizing CAD\/CAM-Based Restorative Dental Processes and Materials with Artificial Intelligence: A Concise Narrative Review","volume":"12","author":"Yeslam","year":"2024","journal-title":"PeerJ"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"100081","DOI":"10.1016\/j.dentre.2024.100081","article-title":"A Review of Advancements of Artificial Intelligence in Dentistry","volume":"4","author":"Ghaffari","year":"2024","journal-title":"Dent. Rev."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.36346\/sarjods.2024.v06i01.001","article-title":"Applications of Artificial Intelligence in Dentistry: A Narrative Review","volume":"6","author":"Sikri","year":"2024","journal-title":"South Asian Res. J. Oral Dent. Sci."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Moon, W., Kim, S., Lim, B.S., Park, Y.S., Kim, R.J.Y., and Chung, S.H. (2021). Dimensional Accuracy Evaluation of Temporary Dental Restorations with Different 3D Printing Systems. Materials, 14.","DOI":"10.3390\/ma14061487"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.jdent.2018.07.015","article-title":"Detection and Diagnosis of Dental Caries Using a Deep Learning-Based Convolutional Neural Network Algorithm","volume":"77","author":"Lee","year":"2018","journal-title":"J. Dent."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1177\/0022034520915714","article-title":"Artificial Intelligence in Dentistry: Chances and Challenges","volume":"99","author":"Schwendicke","year":"2020","journal-title":"J. Dent. Res."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Mangano, F., Veronesi, G., Hauschild, U., Mijiritsky, E., and Mangano, C. (2016). Trueness and Precision of Four Intraoral Scanners in Oral Implantology: A Comparative In Vitro Study. PLoS ONE, 11.","DOI":"10.1371\/journal.pone.0163107"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Ahmed, N., Abbasi, M.S., Zuberi, F., Qamar, W., Halim, M.S.B., Maqsood, A., and Alam, M.K. (2021). Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry\u2014A Systematic Review. Biomed Res. Int., 2021.","DOI":"10.1155\/2021\/9751564"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Buduru, S., Cofar, F., Mesaro\u0219, A., T\u0103ut, M., Negucioiu, M., and Alm\u0103\u0219an, O. (2024). Perceptions in Digital Smile Design: Assessing Laypeople and Dental Professionals\u2019 Preferences Using an Artificial-Intelligence-Based Application. Dent. J., 12.","DOI":"10.3390\/dj12040104"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"842","DOI":"10.1111\/jerd.13079","article-title":"Applications, Functions, and Accuracy of Artificial Intelligence in Restorative Dentistry: A Literature Review","volume":"35","author":"Tabatabaian","year":"2023","journal-title":"J. Esthet. Restor. Dent."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"867","DOI":"10.1016\/j.prosdent.2021.02.010","article-title":"Artificial Intelligence Applications in Restorative Dentistry: A Systematic Review","volume":"128","author":"Vyas","year":"2022","journal-title":"J. Prosthet. Dent."},{"key":"ref_15","unstructured":"Bell, J. (2010). Doing Your Research Project: A Guide for First-Time Researchers in Education, Health and Social Science, Open University Press. [5th ed.]."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Dawa, H., Neves, J., and Vicente, H. (2025). Evaluating the Impact of Digital Tool Utilization in Dentistry on Burnout Syndrome Among Dentists: An Entropy Analysis and AI-Driven Approach. Eng, 6.","DOI":"10.3390\/eng6030047"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Mangano, F., Gandolfi, A., Luongo, G., and Logozzo, S. (2017). Intraoral Scanners in Dentistry: A Review of the Current Literature. BMC Oral. Health, 17.","DOI":"10.1186\/s12903-017-0442-x"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Joda, T., Zarone, F., and Ferrari, M. (2017). The Complete Digital Workflow in Fixed Prosthodontics: A Systematic Review. BMC Oral Health, 17.","DOI":"10.1186\/s12903-017-0415-0"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Iniesta, M., and P\u00e9rez-Higueras, J.J. (2025). Global Trends in the Use of Artificial Intelligence in Dental Education: A Bibliometric Analysis. Eur. J. Dent. Educ., online ahead of print.","DOI":"10.1111\/eje.13133"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"5261247","DOI":"10.1155\/2016\/5261247","article-title":"Digital Dentistry: New Materials and Techniques","volume":"2016","author":"Mangano","year":"2016","journal-title":"Int. J. Dent."},{"key":"ref_21","first-page":"653","article-title":"Update on Cone Beam Technology and Orthodontic Analysis","volume":"58","author":"Kau","year":"2014","journal-title":"Curr. Dent. Technol."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Sarwar, S., and Jabin, S. (2023). AI Techniques for Cone Beam Computed Tomography in Dentistry: Trends and Practices. arXiv.","DOI":"10.1109\/REEDCON57544.2023.10151069"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Subramanian, A.K., Chen, Y., Almalki, A., Sivamurthy, G., and Kafle, D. (2022). Cephalometric Analysis in Orthodontics Using Artificial Intelligence\u2014A Comprehensive Review. Biomed. Res. Int., 2022.","DOI":"10.1155\/2022\/1880113"},{"key":"ref_24","unstructured":"Diagnocat (2025, July 03). AI-Powered Dental Intelligence. Available online: https:\/\/diagnocat.com\/uk\/usage\/doctors-claim-intelligence-platform\/."},{"key":"ref_25","unstructured":"Hello Pearl (2025, July 03). Second Opinion for Real-Time Diagnosis. Available online: https:\/\/www.hellopearl.com\/products\/second-opinion."},{"key":"ref_26","unstructured":"Institute of Digital Dentistry (2025, July 03). Diagnocat Review. Available online: https:\/\/instituteofdigitaldentistry.com\/ai\/."},{"key":"ref_27","unstructured":"Spot On Business Planning (2025, July 03). Diagnocat and Patient Communication. Available online: https:\/\/www.spoton-businessplanning.co.uk\/blog\/."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Umer, F., Adnan, S., and Lal, A. (2024). Research and Application of Artificial Intelligence in Dentistry from Lower-Middle Income Countries: A Scoping Review. BMC Oral Health, 24.","DOI":"10.1186\/s12903-024-03970-y"},{"key":"ref_29","unstructured":"Villena, F., V\u00e9liz, C., Garc\u00eda-Huidobro, R., and Aguayo, S. (2024). Generative Artificial Intelligence in Dentistry: Current Approaches and Future Challenges. arXiv."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"P\u00e9rez de Frutos, J., Helland, R.H., Desai, S., Nymoen, L.C., Lang\u00f8, T., Remman, T., and Sen, A. (2023). AI-Dentify: Deep Learning for Proximal Caries Detection on Bitewing X-ray\u2014HUNT4 Oral Health Study. arXiv.","DOI":"10.1186\/s12903-024-04120-0"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Rokaya, D., Jaghsi, A.A., Jagtap, R., and Srimaneepong, V. (2024). Artificial Intelligence in Dentistry and Dental Biomaterials. Front. Dent. Med., 5.","DOI":"10.3389\/fdmed.2024.1525505"},{"key":"ref_32","first-page":"280","article-title":"Implant Dentistry and Artificial Intelligence: A Double-Edged Innovation?","volume":"40","author":"Stanford","year":"2025","journal-title":"Int. J. Oral Maxillofac. Implants"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Cortes, A.R.G. (2024). Artificial Intelligence in Planning Oral Rehabilitations: Current Status. Appl. Sci., 14.","DOI":"10.3390\/app14104093"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"426","DOI":"10.5662\/wjm.v13.i5.426","article-title":"Synoptic review on existing and potential sources for bias in dental research methodology with methods on their prevention and remedies","volume":"13","author":"Agrawal","year":"2023","journal-title":"World. J. Methodol."}],"container-title":["Applied Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2076-3417\/15\/14\/7943\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:10:59Z","timestamp":1760033459000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2076-3417\/15\/14\/7943"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,16]]},"references-count":34,"journal-issue":{"issue":"14","published-online":{"date-parts":[[2025,7]]}},"alternative-id":["app15147943"],"URL":"https:\/\/doi.org\/10.3390\/app15147943","relation":{},"ISSN":["2076-3417"],"issn-type":[{"value":"2076-3417","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,16]]}}}