AIMC Topic: Trust

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Investigating the factors influencing users' adoption of artificial intelligence health assistants based on an extended UTAUT model.

Scientific reports
As an emerging healthcare technology, artificial intelligence (AI) health assistants have garnered significant attention. However, the acceptance and intention of ordinary users to adopt AI health assistants require further exploration. This study ai...

Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study.

JMIR mHealth and uHealth
BACKGROUND: The increasing use of direct-to-consumer artificial intelligence (AI)-enabled mobile health (AI-mHealth) apps presents an opportunity for more effective health management and monitoring and expanded mobile health (mHealth) capabilities. H...

Enhancing Trust by a Keycloak-Flower Integration for Federated Machine Learning.

Studies in health technology and informatics
Since its introduction, federated learning (FL) has attracted a lot of attention in the medical field, but its actual application in healthcare organisations remains limited. Flower is a leading FL framework known for its good documentation and wide ...

Clinical Trust in Data-Driven Decision Support Tools: Qualitative Interview Study.

Studies in health technology and informatics
Data-driven clinical decision support (CDSS) is increasingly available to healthcare practitioners (HCPs), yet little is known about their trust in such tools. Primary care and oncology practitioners were interviewed about their use of data-driven CD...

Artificial intelligence voice gender, gender role congruity, and trust in automated vehicles.

Scientific reports
Existing research on human-automated vehicle (AV) interactions has largely focused on auditory explanations, with less attention to how voice characteristics shape user trust. This paper explores the influence of gender similarity between users and A...

Expectations of healthcare AI and the role of trust: understanding patient views on how AI will impact cost, access, and patient-provider relationships.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Although efforts to effectively govern AI continue to develop, relatively little work has been done to systematically measure and include patient perspectives or expectations of AI in governance. This analysis is designed to understand pa...

Neural dynamics of mental state attribution to social robot faces.

Social cognitive and affective neuroscience
The interplay of mind attribution and emotional responses is considered crucial in shaping human trust and acceptance of social robots. Understanding this interplay can help us create the right conditions for successful human-robot social interaction...

Trust as a Solution to Human Vulnerability: Ethical Considerations on Trust in Care Robots.

Nursing philosophy : an international journal for healthcare professionals
In the care sector, professionals face numerous challenges, such as a lack of resources, overloaded wards, physical and psychological strain, stressful constellations with patients and cooperation with medical professionals. Care robots are therefore...

[Patient-centered medicine in the era of artificial intelligence: what are the possible implications and risks?].

Recenti progressi in medicina
Patient-Centered Care (PCC) is currently recognized as the gold standard for the doctor-patient relationship, and numerous studies associate it with the improvement of various outcomes. However, the advent of artificial intelligence (AI) technologies...

The impact of AI feedback on the accuracy of diagnosis, decision switching and trust in radiography.

PloS one
Artificial intelligence decision support systems have been proposed to assist a struggling National Health Service (NHS) workforce in the United Kingdom. Its implementation in UK healthcare systems has been identified as a priority for deployment. Fe...