Bridging the Gap: Barriers and Adoption Patterns of AI in Radiological Practice

Lior Moskovich; Mor Saban; Nitza Geri

doi:10.3233/SHTI260809

Bridging the Gap: Barriers and Adoption Patterns of AI in Radiological Practice

Lior Moskovich
, Mor Saban
, Nitza Geri

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

Abstract

Artificial Intelligence (AI) is increasingly integrated into radiological practice, yet real-world adoption remains unstable. This mixed-methods study examined AI use within the Israeli radiological workforce through 32 interviews and a survey of 133 professionals. AI was largely perceived as a supportive 'second reader,' while concerns focused on reliability, workflow integration, and medico-legal responsibility. Adoption patterns were heterogeneous, with higher reported use among specialists and hospital-based staff. Attitudes reflected conditional acceptance, emphasizing physician responsibility, institutional policies, and human verification. Leading barriers included limited institutional budget, doubts in AI outputs and absence of medico-legal protocols. Findings suggest that trust, governance, and institutional support are central to sustainable AI implantation.

Original language	English
Title of host publication	Health Sciences Informatics Leads and Empowers the Digital Health Transformation - 24th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2026
Editors	John Mantas, Arie Hasman, Parisis Gallos, Reinhold Haux, Konstantinos Karitis
Publisher	IOS Press BV
Pages	116-117
Number of pages	2
ISBN (Electronic)	9781643686684
DOIs	https://doi.org/10.3233/SHTI260809
State	Published - 29 Jun 2026
Externally published	Yes
Event	24th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2026 - Athens, Greece Duration: 3 Jul 2026 → 5 Jul 2026

Publication series

Name	Studies in Health Technology and Informatics
Volume	338
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	24th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2026
Country/Territory	Greece
City	Athens
Period	3/07/26 → 5/07/26

Bibliographical note

Publisher Copyright:
© 2026 The Authors.

Keywords

AI adoption
Artificial Intelligence
barriers
radiology

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/SHTI260809

Cite this

Moskovich, L., Saban, M., & Geri, N. (2026). Bridging the Gap: Barriers and Adoption Patterns of AI in Radiological Practice. In J. Mantas, A. Hasman, P. Gallos, R. Haux, & K. Karitis (Eds.), Health Sciences Informatics Leads and Empowers the Digital Health Transformation - 24th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2026 (pp. 116-117). (Studies in Health Technology and Informatics; Vol. 338). IOS Press BV. https://doi.org/10.3233/SHTI260809

Moskovich, Lior ; Saban, Mor ; Geri, Nitza. / Bridging the Gap : Barriers and Adoption Patterns of AI in Radiological Practice. Health Sciences Informatics Leads and Empowers the Digital Health Transformation - 24th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2026. editor / John Mantas ; Arie Hasman ; Parisis Gallos ; Reinhold Haux ; Konstantinos Karitis. IOS Press BV, 2026. pp. 116-117 (Studies in Health Technology and Informatics).

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abstract = "Artificial Intelligence (AI) is increasingly integrated into radiological practice, yet real-world adoption remains unstable. This mixed-methods study examined AI use within the Israeli radiological workforce through 32 interviews and a survey of 133 professionals. AI was largely perceived as a supportive 'second reader,' while concerns focused on reliability, workflow integration, and medico-legal responsibility. Adoption patterns were heterogeneous, with higher reported use among specialists and hospital-based staff. Attitudes reflected conditional acceptance, emphasizing physician responsibility, institutional policies, and human verification. Leading barriers included limited institutional budget, doubts in AI outputs and absence of medico-legal protocols. Findings suggest that trust, governance, and institutional support are central to sustainable AI implantation.",

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Moskovich, L, Saban, M & Geri, N 2026, Bridging the Gap: Barriers and Adoption Patterns of AI in Radiological Practice. in J Mantas, A Hasman, P Gallos, R Haux & K Karitis (eds), Health Sciences Informatics Leads and Empowers the Digital Health Transformation - 24th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2026. Studies in Health Technology and Informatics, vol. 338, IOS Press BV, pp. 116-117, 24th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2026, Athens, Greece, 3/07/26. https://doi.org/10.3233/SHTI260809

Bridging the Gap: Barriers and Adoption Patterns of AI in Radiological Practice. / Moskovich, Lior; Saban, Mor; Geri, Nitza.
Health Sciences Informatics Leads and Empowers the Digital Health Transformation - 24th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2026. ed. / John Mantas; Arie Hasman; Parisis Gallos; Reinhold Haux; Konstantinos Karitis. IOS Press BV, 2026. p. 116-117 (Studies in Health Technology and Informatics; Vol. 338).

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

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AB - Artificial Intelligence (AI) is increasingly integrated into radiological practice, yet real-world adoption remains unstable. This mixed-methods study examined AI use within the Israeli radiological workforce through 32 interviews and a survey of 133 professionals. AI was largely perceived as a supportive 'second reader,' while concerns focused on reliability, workflow integration, and medico-legal responsibility. Adoption patterns were heterogeneous, with higher reported use among specialists and hospital-based staff. Attitudes reflected conditional acceptance, emphasizing physician responsibility, institutional policies, and human verification. Leading barriers included limited institutional budget, doubts in AI outputs and absence of medico-legal protocols. Findings suggest that trust, governance, and institutional support are central to sustainable AI implantation.

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Moskovich L, Saban M, Geri N. Bridging the Gap: Barriers and Adoption Patterns of AI in Radiological Practice. In Mantas J, Hasman A, Gallos P, Haux R, Karitis K, editors, Health Sciences Informatics Leads and Empowers the Digital Health Transformation - 24th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2026. IOS Press BV. 2026. p. 116-117. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI260809

Bridging the Gap: Barriers and Adoption Patterns of AI in Radiological Practice

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this