Acceptance, Satisfaction, and Trust in Using Medical Artificial Intelligence in High-, Middle-, and Low-Income Countries v1

The present protocol aims to assess level of acceptance, satisfaction, and trust in using medical Artificial Intelligence (AI) among public population and health care professionals. It also aims to assess level of stigma in using AI in mental health consultations compared to face to face consultations. It is expected to find variable levels of acceptance, satisfaction, and trust in using Medical AI due to variable factors. As well, it's expected to find lower level of stigma concerning using AI in mental health consultations.

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Publication Details

Published
2025-09-26
DOI
https://doi.org/10.17504/protocols.io.yxmvmb5yog3p/v1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

Acceptance, Satisfaction, and Trust in Using Medical Artificial Intelligence in High-, Middle-, and Low-Income Countries v1

Sally Samir Othman, Ramy Mohamed Ghazy, Mohamed Fakhry Hussein
Artificial Intelligence in Healthcare and Education
article

Acceptance, Satisfaction, and Trust in Using Medical Artificial Intelligence in High-, Middle-, and Low-Income Countries v1

Sally Samir Othman, Ramy Mohamed Ghazy, Mohamed Fakhry Hussein
article en

Abstract

The present protocol aims to assess level of acceptance, satisfaction, and trust in using medical Artificial Intelligence (AI) among public population and health care professionals. It also aims to assess level of stigma in using AI in mental health consultations compared to face to face consultations. It is expected to find variable levels of acceptance, satisfaction, and trust in using Medical AI due to variable factors. As well, it's expected to find lower level of stigma concerning using AI in mental health consultations.

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Artificial Intelligence in Healthcare and Education
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Acceptance, Satisfaction, and Trust in Using Medical Artificial Intelligence in High-, Middle-, and Low-Income Countries v1 — Sally Samir Othman, Ramy Mohamed Ghazy, et al. · (2025) | TGRS Research Map | TGRS