AI adoption determinants in infertility treatment services based on the UTAUT2 framework

Artificial Intelligence (AI) holds significant promise in enhancing clinical decision-making, improving service efficiency, and personalizing patient care in infertility treatment services. This study aims to identify the key factors influencing behavioral intention to adopt AI within this specializ...

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Bibliographic Details

Main Authors:	Anggraini, Dewi, Juliastuti, Dyah, Aini, Qurotul, Zakaria, Noor Azura, Wahid, Syahrul Mu’Arif
Format:	Proceeding Paper
Language:	en en
Published:	IEEE 2025
Subjects:	QA76 Computer software
Online Access:	http://irep.iium.edu.my/123909/8/123909_AI%20adoption%20determinants.pdf http://irep.iium.edu.my/123909/9/123909_AI%20adoption%20determinants_Scopus.pdf http://irep.iium.edu.my/123909/ https://ieeexplore.ieee.org/document/11166946
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