Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Prabhathi Basnayake

Biographic Data

ID176659
NAMEPrabhathi Basnayake
GIVEN NAMESPrabhathi
FAMILY NAMEBasnayake
SIGNATUREBASNAYAKE P
AFFILIATIONSUniversity of Melbourne, Melbourne, VIC, Australia
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS2
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Developing a Typology of Women's Attitudes Towards AI Use in the BreastScreen Programme—A Qualitative Study With BreastScreen Victoria Clients

    Open Access•Maho Omori, Prabhathi Basnayake et al.•ARTICLE•Health Expectations•2025

    BACKGROUND: There is growing scientific evidence supporting the potential of artificial intelligence (AI) to enhance breast cancer screening by improving the accuracy and efficiency of mammography interpretation. Aligned with this, several empirical studies, predominantly quantitative, have explored lay women's perceptions of AI in breast screening, often framing attitudes in binary terms-positive or negative. This approach can overlook the compl…

  • "Trust in AI Is a "Fluid Process

    Open Access•Maho Omori, Prabhathi Basnayake et al.•ARTICLE•Qualitative Health Research•2025•References: 43

    Research on trust in healthcare AI has grown significantly over the last five years, underscoring its vital role in AI adoption within healthcare services. While the multi-dimensional nature of trust in AI is well-documented, the literature lacks an integrative framework to fully understanding its dynamics. This study explores clinicians' perceptions of using AI in breast screening, focusing on the evolving nature of trust in AI within a complex …

  • Inequalities in the Age of Universal Health Coverage

    Open Access•Marcela González‐agüero, Richard Chenhall et al.•ARTICLE•Medical Anthropology Quarterly•2020•Cited by: 2•References: 33

    While universal health coverage (UHC) has been praised as a powerful means to reduce inequalities and improve access to health globally, little has been said about how patients experience and understand its implementation locally. In this article, we explore the experiences of young Chileans with type 1 diabetes when seeking care in Santiago, within Chile's UHC program, which sought to improve people's access to health care. We argue that the imp…

  • Inequalities in the Age of Universal Health Coverage

    Open Access•Marcela González‐agüero, Richard Chenhall et al.•ARTICLE•Medical Anthropology Quarterly•2020•Cited by: 2•References: 33

    While universal health coverage (UHC) has been praised as a powerful means to reduce inequalities and improve access to health globally, little has been said about how patients experience and understand its implementation locally. In this article, we explore the experiences of young Chileans with type 1 diabetes when seeking care in Santiago, within Chile's UHC program, which sought to improve people's access to health care. We argue that the imp…

  • Inequalities in the Age of Universal Health Coverage

    Open Access•Marcela González‐agüero, Richard Chenhall et al.•ARTICLE•Medical Anthropology Quarterly•2020•Cited by: 2•References: 33

    While universal health coverage (UHC) has been praised as a powerful means to reduce inequalities and improve access to health globally, little has been said about how patients experience and understand its implementation locally. In this article, we explore the experiences of young Chileans with type 1 diabetes when seeking care in Santiago, within Chile's UHC program, which sought to improve people's access to health care. We argue that the imp…

  • Developing a Typology of Women's Attitudes Towards AI Use in the BreastScreen Programme—A Qualitative Study With BreastScreen Victoria Clients

    Open Access•Maho Omori, Prabhathi Basnayake et al.•ARTICLE•Health Expectations•2025

    BACKGROUND: There is growing scientific evidence supporting the potential of artificial intelligence (AI) to enhance breast cancer screening by improving the accuracy and efficiency of mammography interpretation. Aligned with this, several empirical studies, predominantly quantitative, have explored lay women's perceptions of AI in breast screening, often framing attitudes in binary terms-positive or negative. This approach can overlook the compl…

  • "Trust in AI Is a "Fluid Process

    Open Access•Maho Omori, Prabhathi Basnayake et al.•ARTICLE•Qualitative Health Research•2025•References: 43

    Research on trust in healthcare AI has grown significantly over the last five years, underscoring its vital role in AI adoption within healthcare services. While the multi-dimensional nature of trust in AI is well-documented, the literature lacks an integrative framework to fully understanding its dynamics. This study explores clinicians' perceptions of using AI in breast screening, focusing on the evolving nature of trust in AI within a complex …

Medicine (3 works) · Sociology (3 works) · Artificial Intelligence in Healthcare and Education (2 works) · Health care (2 works) · Psychology (2 works) · Qualitative research (2 works) · Social Psychology (2 works) · Social science (2 works) · AI in cancer detection (1 work) · BRCA gene mutations in cancer (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae