Ethics of AI in Radiography Practice

Hendrik Erenstein; Mirjam Plantinga; Peter M. A. van Ooijen

doi:10.1007/978-3-032-05080-9_3

Ethics of AI in Radiography Practice

Hendrik Erenstein
, Mirjam Plantinga
, Peter M. A. van Ooijen

Healthy Ageing, Allied Health Care and Nursing

University of Groningen, University Medical Center Groningen, Department of Genetics and Data Science Center in Health
University of Groningen, University Medical Center Groningen, Department of Radiotherapy and Data Science Center in Health (DASH)

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

Abstract

This chapter aims to raise awareness about the ethical considerations surrounding the use of AI in medical imaging and radiography. It emphasises the importance of integrating both medical ethical principles (beneficence, non-maleficence, respect for autonomy, and justice) and ethical AI principles. Throughout the chapter the use of AI in radiography is reflected on from the perspective of six ethical AI principles brought forward by the World Health Organisation (WHO), which also cover the medical ethical principles: Protecting autonomy; Promoting human well-being, safety, and public interest; Ensuring transparency, explainability, and intelligibility; Fostering responsibility and accountability; Ensuring inclusiveness and equity; and Promoting responsive and sustainable AI. By reflecting on AI use case examples from the perspective of these principles, this chapter aims to guide radiographers in contributing to the responsible use of AI in their practice. Based on this information, the chapter also highlights the impact on professional identity and future competencies required for radiographers. Relevant radiography literature and research evidence are also recruited to contextualise ethics in our profession for now and the future.

Original language	English
Title of host publication	Artificial Intelligence for Radiographers
Subtitle of host publication	Basic Principles, Clinical Applications and Implementation Considerations
Publisher	Springer Nature
Chapter	3
Pages	37-49
Number of pages	13
ISBN (Print)	9783032050809
DOIs	https://doi.org/10.1007/978-3-032-05080-9_3
Publication status	E-pub ahead of print - 15 Jan 2026

Publication series

Series	Artificial Intelligence for Radiographers

Keywords

ethics
principles
responsibility
public safety
professional identity
competences

Research Focus Areas Hanze University of Applied Sciences * (mandatory by Hanze)

Healthy Ageing

Research Focus Areas Research Centre or Centre of Expertise * (mandatory by Hanze)

Frailty and adequate care

Publinova themes

Other

Access to Document

10.1007/978-3-032-05080-9_3

Cite this

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title = "Ethics of AI in Radiography Practice",

abstract = "This chapter aims to raise awareness about the ethical considerations surrounding the use of AI in medical imaging and radiography. It emphasises the importance of integrating both medical ethical principles (beneficence, non-maleficence, respect for autonomy, and justice) and ethical AI principles. Throughout the chapter the use of AI in radiography is reflected on from the perspective of six ethical AI principles brought forward by the World Health Organisation (WHO), which also cover the medical ethical principles: Protecting autonomy; Promoting human well-being, safety, and public interest; Ensuring transparency, explainability, and intelligibility; Fostering responsibility and accountability; Ensuring inclusiveness and equity; and Promoting responsive and sustainable AI. By reflecting on AI use case examples from the perspective of these principles, this chapter aims to guide radiographers in contributing to the responsible use of AI in their practice. Based on this information, the chapter also highlights the impact on professional identity and future competencies required for radiographers. Relevant radiography literature and research evidence are also recruited to contextualise ethics in our profession for now and the future.",

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author = "Hendrik Erenstein and Mirjam Plantinga and \{van Ooijen\}, \{Peter M. A.\}",

year = "2026",

month = jan,

day = "15",

doi = "10.1007/978-3-032-05080-9\_3",

language = "English",

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series = "Artificial Intelligence for Radiographers",

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Ethics of AI in Radiography Practice. / Erenstein, Hendrik; Plantinga, Mirjam; van Ooijen, Peter M. A.
Artificial Intelligence for Radiographers: Basic Principles, Clinical Applications and Implementation Considerations. Springer Nature, 2026. p. 37-49 (Artificial Intelligence for Radiographers).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

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AU - Erenstein, Hendrik

AU - Plantinga, Mirjam

AU - van Ooijen, Peter M. A.

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N2 - This chapter aims to raise awareness about the ethical considerations surrounding the use of AI in medical imaging and radiography. It emphasises the importance of integrating both medical ethical principles (beneficence, non-maleficence, respect for autonomy, and justice) and ethical AI principles. Throughout the chapter the use of AI in radiography is reflected on from the perspective of six ethical AI principles brought forward by the World Health Organisation (WHO), which also cover the medical ethical principles: Protecting autonomy; Promoting human well-being, safety, and public interest; Ensuring transparency, explainability, and intelligibility; Fostering responsibility and accountability; Ensuring inclusiveness and equity; and Promoting responsive and sustainable AI. By reflecting on AI use case examples from the perspective of these principles, this chapter aims to guide radiographers in contributing to the responsible use of AI in their practice. Based on this information, the chapter also highlights the impact on professional identity and future competencies required for radiographers. Relevant radiography literature and research evidence are also recruited to contextualise ethics in our profession for now and the future.

AB - This chapter aims to raise awareness about the ethical considerations surrounding the use of AI in medical imaging and radiography. It emphasises the importance of integrating both medical ethical principles (beneficence, non-maleficence, respect for autonomy, and justice) and ethical AI principles. Throughout the chapter the use of AI in radiography is reflected on from the perspective of six ethical AI principles brought forward by the World Health Organisation (WHO), which also cover the medical ethical principles: Protecting autonomy; Promoting human well-being, safety, and public interest; Ensuring transparency, explainability, and intelligibility; Fostering responsibility and accountability; Ensuring inclusiveness and equity; and Promoting responsive and sustainable AI. By reflecting on AI use case examples from the perspective of these principles, this chapter aims to guide radiographers in contributing to the responsible use of AI in their practice. Based on this information, the chapter also highlights the impact on professional identity and future competencies required for radiographers. Relevant radiography literature and research evidence are also recruited to contextualise ethics in our profession for now and the future.

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Ethics of AI in Radiography Practice

Abstract

Publication series

Keywords

Research Focus Areas Hanze University of Applied Sciences * (mandatory by Hanze)

Research Focus Areas Research Centre or Centre of Expertise * (mandatory by Hanze)

Publinova themes

Access to Document

Fingerprint

Cite this