Research output per year
Research output per year
Abstract
Artificial intelligence (AI) is reshaping diagnostics, treatment planning, and patient care across diverse disciplines. Dentistry is now at the forefront of this innovation, with AI's ability to process complex data to improve clinical practice, empower patients, and address public health challenges.
This richly illustrated book offers a deeper understanding of the foundational concepts of AI, its practical applications in oral health, and the possibilities that lie ahead. From oral pathology to maxillofacial surgery, prosthodontics to orthodontics, and endodontics to dental education, it presents compelling, evidence-based insights into how AI is changing the landscape of dentistry.
Beyond its clinical potential, the book tackles the key risks and challenges associated with AI implementation. It provides a thoughtful roadmap for addressing ethical considerations, encouraging transparency, and developing solutions that prioritize both innovation and patient well-being.
Written for dental professionals and an interdisciplinary audience, including educators, researchers, policymakers, and the public, this book serves as both a guide and a call to action for responsibly embracing AI's transformative power.
Whether you are a seasoned practitioner, an academic, or simply curious about the intersection of AI and healthcare, this book will inspire and inform your journey into the future of dentistry.
This richly illustrated book offers a deeper understanding of the foundational concepts of AI, its practical applications in oral health, and the possibilities that lie ahead. From oral pathology to maxillofacial surgery, prosthodontics to orthodontics, and endodontics to dental education, it presents compelling, evidence-based insights into how AI is changing the landscape of dentistry.
Beyond its clinical potential, the book tackles the key risks and challenges associated with AI implementation. It provides a thoughtful roadmap for addressing ethical considerations, encouraging transparency, and developing solutions that prioritize both innovation and patient well-being.
Written for dental professionals and an interdisciplinary audience, including educators, researchers, policymakers, and the public, this book serves as both a guide and a call to action for responsibly embracing AI's transformative power.
Whether you are a seasoned practitioner, an academic, or simply curious about the intersection of AI and healthcare, this book will inspire and inform your journey into the future of dentistry.
| Original language | English |
|---|---|
| Place of Publication | Cham, Switzerland |
| Publisher | Springer International Publishing |
| Number of pages | 197 |
| Edition | 1 |
| ISBN (Electronic) | 978-3-031-84047-0 |
| ISBN (Print) | 978-3-031-84046-3, 978-3-031-84049-4 |
| DOIs | |
| Publication status | Published - 1 Apr 2025 |
Keywords*
- Artificial intelligence
- Machine learning
- Deep learning
- Digital dentistry
- Oral health and AI
- AI
Field of Science*
- 1.2 Computer and information sciences
- 3.3 Health sciences
- 3.2 Clinical medicine
Publication Type*
- 2.1. Reviewed scientific monographs or collective monographs with an ISBN code included in the Web of Science Book Citation Index
Access to Document
Other files and links
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Dive into the research topics of 'Artificial Intelligence for Oral Health Care: Applications and Future Prospects'. Together they form a unique fingerprint.-
Integrating Generative AI in Dental Education: A Scoping Review of Current Practices and Recommendations
Uribe, S. E. (Corresponding Author), Maldupa, I. & Schwendicke, F., May 2025, In: European Journal of Dental Education. 29, 2, p. 341-355 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile22 Downloads (Pure) -
The influence of a deep learning tool on the performance of oral and maxillofacial radiologists in the detection of apical radiolucencies
Hamdan, M. H. (Corresponding Author), Uribe, S. E., Tuzova, L., Tuzoff, D., Badr, Z., Mol, A. & Tyndall, D. A., 1 Feb 2025, In: Dentomaxillofacial Radiology. 54, 2, p. 118-124 7 p.Research output: Contribution to journal › Article › peer-review
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Advanced Imaging in Dental Research: from Gene Mapping to AI Global Data
Graves, D. T. & Uribe, S. E. (Corresponding Author), 2024, In: Journal of Dental Research. 103, 13, p. 1329-1330 2 p.Research output: Contribution to journal › Editorial
Open AccessFile2 Citations (Scopus)2 Downloads (Pure)
Projects
- 1 Finished
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Caries-AI: Diagnostic accuracy of artificial intelligence systems for radiographic caries detection and high-quality dataset of annotated radiographs
E. Uribe, S. (Project leader), Apse, I. A. (Assistant (student)), Radziņš, O. (Expert) & Maldupa, I. (Leading expert)
26/07/21 → 25/07/22
Project: RSU grants
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The State of the Research Into Artificial Intelligence in Dentistry
E. Uribe, S. (Invited speaker)
28 Jun 2025Activity: Talk or presentation types › Invited talk
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IA – aplicações gerais na medicina dentária e na imagiologia dentária: equilíbrio entre a perícia humana e a inteligência artificial
E. Uribe, S. (Invited speaker)
22 Nov 2024Activity: Talk or presentation types › Invited talk
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Can we trust clinical AI diagnosis?
E. Uribe, S. (Keynote speaker)
18 Oct 2024 → 19 Oct 2024Activity: Talk or presentation types › Oral presentation
File
Press/Media
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New study could help shape guidelines for GenAI use in dental education
E. Uribe, S., Maldupa, I. & Schwendicke, F.
24/02/25
1 item of Media coverage
Press/Media
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Mākslīgais intelekts zobārstniecībā – no negodprātīgiem pētījumiem līdz rīkam ārstniecībā. Skaidro RSU pētnieki
5/11/24
1 Media contribution
Press/Media
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We recommend that dental educators integrate AI tools like ChatGPT into their teaching
E. Uribe, S. & Schwendicke, F.
30/09/24
1 item of Media coverage
Press/Media