Artificial Intelligence in Dental Education: Opportunities, Challenges, and Implementation

Sergio E. Uribe; Falk Schwendicke; Carlos Gonzalez-Cabezas

doi:10.1007/978-3-031-84047-0_12

Artificial Intelligence in Dental Education: Opportunities, Challenges, and Implementation

Sergio E. Uribe
, Falk Schwendicke
, Carlos Gonzalez-Cabezas

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

Abstract

This chapter explores the integration of Artificial Intelligence (AI) in dental education, focusing on the opportunities AI offers to enhance learning through personalized feedback, diagnostic training, and clinical simulations. Generative AI models like ChatGPT provide broader capabilities than traditional AI. However, data privacy, bias, and academic integrity persist, requiring careful management. As AI becomes more embedded in dental education, it is essential to promote AI literacy, ensuring that future dental professionals understand its limitations and avoid overreliance, which could lead to automation bias. The chapter proposes a core AI curriculum, addressing foundational knowledge, practical applications, and ethical considerations. Integrating AI into dental education will improve learning outcomes and improve patient care, as clinicians equipped with AI knowledge can apply these tools responsibly and effectively. Institutions are encouraged to adapt curricula, invest in AI infrastructure, and establish clear guidelines for its use, promoting innovation while upholding ethical standards.

Original language	English
Title of host publication	Artificial Intelligence for Oral Health Care
Subtitle of host publication	Applications and Future Prospects
Editors	Falk Schwendicke, Prabhat Kumar Chaudhari, Kunaal Dhingra, Sergio E. Uribe, Manal Hamdan
Place of Publication	Cham
Publisher	Springer International Publishing
Chapter	12
Pages	173-189
Number of pages	17
Edition	1
ISBN (Electronic)	978-3-031-84047-0
ISBN (Print)	978-3-031-84046-3, 978-3-031-84049-4
DOIs	https://doi.org/10.1007/978-3-031-84047-0_12
Publication status	Published - Apr 2025

Keywords*

Artificial Intelligence
dental education
education
dentistry

Field of Science*

3.2 Clinical medicine
5.3 Educational sciences

Publication Type*

3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database

Access to Document

10.1007/978-3-031-84047-0_12

https://link.springer.com/chapter/10.1007/978-3-031-84047-0_12

Cite this

Uribe, S. E., Schwendicke, F., & Gonzalez-Cabezas, C. (2025). Artificial Intelligence in Dental Education: Opportunities, Challenges, and Implementation. In F. Schwendicke, P. K. Chaudhari, K. Dhingra, S. E. Uribe, & M. Hamdan (Eds.), Artificial Intelligence for Oral Health Care: Applications and Future Prospects (1 ed., pp. 173-189). Springer International Publishing. https://doi.org/10.1007/978-3-031-84047-0_12

Uribe, Sergio E. ; Schwendicke, Falk ; Gonzalez-Cabezas, Carlos. / Artificial Intelligence in Dental Education : Opportunities, Challenges, and Implementation. Artificial Intelligence for Oral Health Care: Applications and Future Prospects. editor / Falk Schwendicke ; Prabhat Kumar Chaudhari ; Kunaal Dhingra ; Sergio E. Uribe ; Manal Hamdan. 1. ed. Cham : Springer International Publishing, 2025. pp. 173-189

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abstract = "This chapter explores the integration of Artificial Intelligence (AI) in dental education, focusing on the opportunities AI offers to enhance learning through personalized feedback, diagnostic training, and clinical simulations. Generative AI models like ChatGPT provide broader capabilities than traditional AI. However, data privacy, bias, and academic integrity persist, requiring careful management. As AI becomes more embedded in dental education, it is essential to promote AI literacy, ensuring that future dental professionals understand its limitations and avoid overreliance, which could lead to automation bias. The chapter proposes a core AI curriculum, addressing foundational knowledge, practical applications, and ethical considerations. Integrating AI into dental education will improve learning outcomes and improve patient care, as clinicians equipped with AI knowledge can apply these tools responsibly and effectively. Institutions are encouraged to adapt curricula, invest in AI infrastructure, and establish clear guidelines for its use, promoting innovation while upholding ethical standards.",

keywords = "Artificial Intelligence, dental education, education, dentistry",

author = "Uribe, \{Sergio E.\} and Falk Schwendicke and Carlos Gonzalez-Cabezas",

note = "Publisher Copyright: {\textcopyright} The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.",

year = "2025",

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doi = "10.1007/978-3-031-84047-0\_12",

language = "English",

isbn = "978-3-031-84046-3",

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Uribe, SE, Schwendicke, F & Gonzalez-Cabezas, C 2025, Artificial Intelligence in Dental Education: Opportunities, Challenges, and Implementation. in F Schwendicke, PK Chaudhari, K Dhingra, SE Uribe & M Hamdan (eds), Artificial Intelligence for Oral Health Care: Applications and Future Prospects. 1 edn, Springer International Publishing, Cham, pp. 173-189. https://doi.org/10.1007/978-3-031-84047-0_12

Artificial Intelligence in Dental Education: Opportunities, Challenges, and Implementation. / Uribe, Sergio E.; Schwendicke, Falk; Gonzalez-Cabezas, Carlos.
Artificial Intelligence for Oral Health Care: Applications and Future Prospects. ed. / Falk Schwendicke; Prabhat Kumar Chaudhari; Kunaal Dhingra; Sergio E. Uribe; Manal Hamdan. 1. ed. Cham: Springer International Publishing, 2025. p. 173-189.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

TY - CHAP

T1 - Artificial Intelligence in Dental Education

T2 - Opportunities, Challenges, and Implementation

AU - Uribe, Sergio E.

AU - Schwendicke, Falk

AU - Gonzalez-Cabezas, Carlos

N1 - Publisher Copyright: © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

PY - 2025/4

Y1 - 2025/4

N2 - This chapter explores the integration of Artificial Intelligence (AI) in dental education, focusing on the opportunities AI offers to enhance learning through personalized feedback, diagnostic training, and clinical simulations. Generative AI models like ChatGPT provide broader capabilities than traditional AI. However, data privacy, bias, and academic integrity persist, requiring careful management. As AI becomes more embedded in dental education, it is essential to promote AI literacy, ensuring that future dental professionals understand its limitations and avoid overreliance, which could lead to automation bias. The chapter proposes a core AI curriculum, addressing foundational knowledge, practical applications, and ethical considerations. Integrating AI into dental education will improve learning outcomes and improve patient care, as clinicians equipped with AI knowledge can apply these tools responsibly and effectively. Institutions are encouraged to adapt curricula, invest in AI infrastructure, and establish clear guidelines for its use, promoting innovation while upholding ethical standards.

AB - This chapter explores the integration of Artificial Intelligence (AI) in dental education, focusing on the opportunities AI offers to enhance learning through personalized feedback, diagnostic training, and clinical simulations. Generative AI models like ChatGPT provide broader capabilities than traditional AI. However, data privacy, bias, and academic integrity persist, requiring careful management. As AI becomes more embedded in dental education, it is essential to promote AI literacy, ensuring that future dental professionals understand its limitations and avoid overreliance, which could lead to automation bias. The chapter proposes a core AI curriculum, addressing foundational knowledge, practical applications, and ethical considerations. Integrating AI into dental education will improve learning outcomes and improve patient care, as clinicians equipped with AI knowledge can apply these tools responsibly and effectively. Institutions are encouraged to adapt curricula, invest in AI infrastructure, and establish clear guidelines for its use, promoting innovation while upholding ethical standards.

KW - Artificial Intelligence

KW - dental education

KW - education

KW - dentistry

UR - https://www.scopus.com/pages/publications/105006954796

U2 - 10.1007/978-3-031-84047-0_12

DO - 10.1007/978-3-031-84047-0_12

M3 - Chapter

SN - 978-3-031-84046-3

SN - 978-3-031-84049-4

SP - 173

EP - 189

BT - Artificial Intelligence for Oral Health Care

A2 - Schwendicke, Falk

A2 - Chaudhari, Prabhat Kumar

A2 - Dhingra, Kunaal

A2 - Uribe, Sergio E.

A2 - Hamdan, Manal

PB - Springer International Publishing

CY - Cham

ER -

Uribe SE, Schwendicke F, Gonzalez-Cabezas C. Artificial Intelligence in Dental Education: Opportunities, Challenges, and Implementation. In Schwendicke F, Chaudhari PK, Dhingra K, Uribe SE, Hamdan M, editors, Artificial Intelligence for Oral Health Care: Applications and Future Prospects. 1 ed. Cham: Springer International Publishing. 2025. p. 173-189 doi: 10.1007/978-3-031-84047-0_12

Artificial Intelligence in Dental Education: Opportunities, Challenges, and Implementation

Abstract

Keywords*

Field of Science*

Publication Type*

Access to Document

Other files and links

Fingerprint

Bloom's Taxonomy Reimagined for Generative AI in Dental Education: An Assessment Framework

Inteligencia Artificial en Odontología: Un Enfoque Clínico

Cite this

Artificial Intelligence in Dental Education: Opportunities, Challenges, and Implementation

Abstract

Keywords*

Field of Science*

Publication Type*

Access to Document

Other files and links

Fingerprint

Research output

Bloom's Taxonomy Reimagined for Generative AI in Dental Education: An Assessment Framework

Activities

Inteligencia Artificial en Odontología: Un Enfoque Clínico

Cite this