AI Archives - Page 2 of 3 - Wiser Healthcare

Measures of socioeconomic advantage are not independent predictors of support for healthcare AI: subgroup analysis of a national Australian survey – Emma Kellie Frost et al

Lucia Marcello2023-06-28T15:42:02+10:00AI, Ethical considerations, Health professionals, Publications, Risk|

Applications of artificial intelligence (AI) have the potential to improve aspects of healthcare. However, studies have shown that healthcare AI algorithms also have the potential to perpetuate existing inequities in healthcare, performing less effectively for marginalised populations. Studies on public attitudes towards AI outside of [...]

Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection – M. Luke Marinovich et al.

Lucia Marcello2023-04-14T13:46:26+10:00AI, Breast cancer, Cancer, Imaging, Publications, Screening|

Artificial intelligence (AI) has been proposed to reduce false-positive screens, increase cancer detection rates (CDRs), and address resourcing challenges faced by breast screening programs. We compared the accuracy of AI versus radiologists in real-world population breast cancer screening, and estimated potential impacts on CDR, recall [...]

Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives – Yves Saint James Aquino et al.

Lucia Marcello2023-03-01T14:04:41+11:00AI, Health system, Publications, Research|

There is a growing concern about artificial intelligence (AI) applications in healthcare that can disadvantage already under-represented and marginalised groups (eg, based on gender or race). Our objectives are to canvas the range of strategies stakeholders endorse in attempting to mitigate algorithmic bias, and to [...]

Utopia versus dystopia: Professional perspectives on the impact of healthcare artificial intelligence on clinical roles and skills – Yves Saint James Aquino et. al

Lucia Marcello2023-01-11T13:36:07+11:00AI, Publications|

Alongside the promise of improving clinical work, advances in healthcare artificial intelligence (AI) raise concerns about the risk of deskilling clinicians. This purpose of this study is to examine the issue of deskilling from the perspective of diverse group of professional stakeholders with knowledge and/or [...]

The Adoption of Artificial Intelligence in Health Care and Social Services in Australia: Findings From a Methodologically Innovative National Survey of Values and Attitudes (the AVA-AI Study) – Sebastian Isbanner et al

Thomas Dakin2022-09-07T16:23:59+10:00AI, Health system, Publications|

The ethical and social dimensions of AI systems matter to Australians. Most think AI systems should augment rather than replace humans in the provision of both health care and social services. Although expressing broad support for AI, people made finely tuned judgments about the acceptability [...]

Public views on ethical issues in healthcare artificial intelligence: protocol for a scoping review – Emma Frost et al

Thomas Dakin2022-09-07T16:39:23+10:00AI, Ethical considerations, Publications|

In recent years, innovations in artificial intelligence (AI) have led to the development of new healthcare AI (HCAI) technologies. Whilst some of these technologies show promise for improving the patient experience, ethicists have warned that AI can introduce and exacerbate harms and wrongs in healthcare.

Reports of new healthcare AI interventions should include systematic ethical evaluations – Wendy Rogers et al.

Thomas Dakin2022-07-11T16:18:06+10:00AI, Publications|

Systematic ethical evaluations of healthcare AI tools, using a framework such as we propose, should be included in published reports of new AI interventions. Such an approach has both a prospective benefit, shaping the way that AI tools are developed, and a retrospective benefit, allowing [...]

Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review – Anna Anderson et al.

Thomas Dakin2022-03-10T15:36:14+11:00AI, Breast cancer, Cancer, Publications, Screening|

The aim of this study was to describe the current state of science regarding independent external validation of artificial intelligence (AI) technologies for screening mammography.

Exploring stakeholder attitudes towards AI in clinical practice – Ian Scott et al.

Thomas Dakin2022-02-24T15:48:09+11:00AI, Publications|

Different stakeholders may hold varying attitudes towards artificial intelligence (AI) applications in healthcare, which may constrain their acceptance if AI developers fail to take them into account. We set out to ascertain evidence of the attitudes of clinicians, consumers, managers, researchers, regulators and industry towards [...]

Evaluation of artificial intelligence clinical applications: Detailed case analyses show value of healthcare ethics approach in identifying patient care issues – Wendy Rogers et al.

Thomas Dakin2021-07-16T13:19:40+10:00AI, Ethical considerations, Publications|

This paper is one of the first to analyse the ethical implications of specific healthcare artificial intelligence (AI) applications, and the first to provide a detailed analysis of AI-based systems for clinical decision support. AI is increasingly being deployed across multiple domains. In response, a [...]

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