Artificial Intelligence Applications in Oral Health Imaging

Manal Hamdan; Zaid Badr; Sergio E. Uribe

doi:10.1007/978-3-031-84047-0_2

Artificial Intelligence Applications in Oral Health Imaging

Manal Hamdan, Zaid Badr, Sergio E. Uribe

Department of Conservative Dentistry and Oral Health

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

Abstract

The promising future of artificial intelligence (AI) has resulted in growing interest and research, specifically in the field of oral and maxillofacial radiology. In this chapter, we aim to provide you with a comprehensive look at the present state of AI in oral imaging. We will examine the various ways in which AI is currently employed in this field, explore the key research areas and applications that are gaining interest, and shed light on the tools and technologies that facilitate automated diagnosis. In addition, we will examine the practical aspects of developing, purchasing, implementing, and monitoring AI tools in dental radiology to ensure that they meet both clinical and ethical standards. It is also imperative that we recognize the challenges and pitfalls that come with these advancements and the ethical dilemmas that arise when AI integrates further into oral health imaging.

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	2
Pages	23-39
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_2
Publication status	Published - Apr 2025

Keywords*

Artificial Intelligence
Oral and Maxillofacial Radiology
Oral Radiology
Radiology
Dentistry

Field of Science*

3.2 Clinical medicine

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_2

https://link.springer.com/chapter/10.1007/978-3-031-84047-0_2

Cite this

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title = "Artificial Intelligence Applications in Oral Health Imaging",

abstract = "The promising future of artificial intelligence (AI) has resulted in growing interest and research, specifically in the field of oral and maxillofacial radiology. In this chapter, we aim to provide you with a comprehensive look at the present state of AI in oral imaging. We will examine the various ways in which AI is currently employed in this field, explore the key research areas and applications that are gaining interest, and shed light on the tools and technologies that facilitate automated diagnosis. In addition, we will examine the practical aspects of developing, purchasing, implementing, and monitoring AI tools in dental radiology to ensure that they meet both clinical and ethical standards. It is also imperative that we recognize the challenges and pitfalls that come with these advancements and the ethical dilemmas that arise when AI integrates further into oral health imaging.",

keywords = "Artificial Intelligence, Oral and Maxillofacial Radiology, Oral Radiology, Radiology, Dentistry",

author = "Manal Hamdan and Zaid Badr and Uribe, \{Sergio E.\}",

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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language = "English",

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

pages = "23--39",

editor = "Falk Schwendicke and Chaudhari, \{Prabhat Kumar\} and Kunaal Dhingra and Uribe, \{Sergio E.\} and Manal Hamdan",

booktitle = "Artificial Intelligence for Oral Health Care",

publisher = "Springer International Publishing",

address = "Switzerland",

edition = "1",

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Artificial Intelligence Applications in Oral Health Imaging. / Hamdan, Manal; Badr, Zaid; Uribe, Sergio E.
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. 23-39.

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

TY - CHAP

T1 - Artificial Intelligence Applications in Oral Health Imaging

AU - Hamdan, Manal

AU - Badr, Zaid

AU - Uribe, Sergio E.

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 - The promising future of artificial intelligence (AI) has resulted in growing interest and research, specifically in the field of oral and maxillofacial radiology. In this chapter, we aim to provide you with a comprehensive look at the present state of AI in oral imaging. We will examine the various ways in which AI is currently employed in this field, explore the key research areas and applications that are gaining interest, and shed light on the tools and technologies that facilitate automated diagnosis. In addition, we will examine the practical aspects of developing, purchasing, implementing, and monitoring AI tools in dental radiology to ensure that they meet both clinical and ethical standards. It is also imperative that we recognize the challenges and pitfalls that come with these advancements and the ethical dilemmas that arise when AI integrates further into oral health imaging.

AB - The promising future of artificial intelligence (AI) has resulted in growing interest and research, specifically in the field of oral and maxillofacial radiology. In this chapter, we aim to provide you with a comprehensive look at the present state of AI in oral imaging. We will examine the various ways in which AI is currently employed in this field, explore the key research areas and applications that are gaining interest, and shed light on the tools and technologies that facilitate automated diagnosis. In addition, we will examine the practical aspects of developing, purchasing, implementing, and monitoring AI tools in dental radiology to ensure that they meet both clinical and ethical standards. It is also imperative that we recognize the challenges and pitfalls that come with these advancements and the ethical dilemmas that arise when AI integrates further into oral health imaging.

KW - Artificial Intelligence

KW - Oral and Maxillofacial Radiology

KW - Oral Radiology

KW - Radiology

KW - Dentistry

UR - https://www.scopus.com/pages/publications/105006964166

U2 - 10.1007/978-3-031-84047-0_2

DO - 10.1007/978-3-031-84047-0_2

M3 - Chapter

SN - 978-3-031-84046-3

SN - 978-3-031-84049-4

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BT - Artificial Intelligence for Oral Health Care

A2 - Schwendicke, Falk

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A2 - Hamdan, Manal

PB - Springer International Publishing

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Artificial Intelligence Applications in Oral Health Imaging

Abstract

Keywords*

Field of Science*

Publication Type*

Access to Document

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Fingerprint

Inteligencia artificial en Radiología oral y maxilofacial: Tecnologías, Desafíos e implementación clínica

AI in Pediatric Dentistry

Inteligencia Artificial en Odontología: Un Enfoque Clínico

Cite this

Artificial Intelligence Applications in Oral Health Imaging

Abstract

Keywords*

Field of Science*

Publication Type*

Access to Document

Other files and links

Fingerprint

Activities

Inteligencia artificial en Radiología oral y maxilofacial: Tecnologías, Desafíos e implementación clínica

AI in Pediatric Dentistry

Inteligencia Artificial en Odontología: Un Enfoque Clínico

Cite this