Public trust of AI in healthcare in South Africa: results of a survey

This study underscores the need for innovative governance models tailored to resource-constrained settings, where traditional human-in-the-loop requirements may not always be feasible. Future research should explore how socio-cultural factors and trust dynamics influence public attitudes toward AI in healthcare and investigate models that ensure safety and accountability while addressing practical limitations in healthcare delivery systems.

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Publication Details

Journal
BMC Medical Ethics
Published
2025-08-25
DOI
https://doi.org/10.1186/s12910-025-01272-8
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96

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article

Public trust of AI in healthcare in South Africa: results of a survey

Dane Bottomley, Donrich Willem Thaldar
3 citations
BMC Medical Ethics
Artificial Intelligence in Healthcare and Education
1.96
article

Public trust of AI in healthcare in South Africa: results of a survey

Dane Bottomley, Donrich Willem Thaldar
article en
3 citations

Abstract

This study underscores the need for innovative governance models tailored to resource-constrained settings, where traditional human-in-the-loop requirements may not always be feasible. Future research should explore how socio-cultural factors and trust dynamics influence public attitudes toward AI in healthcare and investigate models that ensure safety and accountability while addressing practical limitations in healthcare delivery systems.

BMC Medical EthicsVol. 26(1)
University of KwaZulu-Natal (ZA)
Meta
Openalex Percentile: Top 11%
Artificial Intelligence in Healthcare and Education
1.96
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