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Trust

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Entrustment and EPAs for Artificial Intelligence (AI): A Framework to Safeguard the Use of AI in Health Professions Education.

Academic medicine : journal of the Association of American Medical Colleges
In this article, the authors propose a repurposing of the concept of entrustment to help guide the use of artificial intelligence (AI) in health professions education (HPE). Entrustment can help identify and mitigate the risks of incorporating genera...

Facilitating Trust Calibration in Artificial Intelligence-Driven Diagnostic Decision Support Systems for Determining Physicians' Diagnostic Accuracy: Quasi-Experimental Study.

JMIR formative research
BACKGROUND: Diagnostic errors are significant problems in medical care. Despite the usefulness of artificial intelligence (AI)-based diagnostic decision support systems, the overreliance of physicians on AI-generated diagnoses may lead to diagnostic ...

Enhancing Recommender Systems through Imputation and Social-Aware Graph Convolutional Neural Network.

Neural networks : the official journal of the International Neural Network Society
Recommendation systems are vital tools for helping users discover content that suits their interests. Collaborative filtering methods are one of the techniques employed for analyzing interactions between users and items, which are typically stored in...

Towards secure and trusted AI in healthcare: A systematic review of emerging innovations and ethical challenges.

International journal of medical informatics
INTRODUCTION: Artificial Intelligence is in the phase of health care, with transformative innovations in diagnostics, personalized treatment, and operational efficiency. While having potential, critical challenges are apparent in areas of safety, tru...

Knowledge is not all you need for comfort in use of AI in healthcare.

Public health
OBJECTIVES: The adoption of artificial intelligence (AI) in healthcare is rapidly expanding, transforming areas such as diagnostics, drug discovery, and patient monitoring. Despite these advances, public perceptions of AI in healthcare, particularly ...

Release of complex imaging reports to patients, do radiologists trust AI to help?

Current problems in diagnostic radiology
BACKGROUND: As a result of the 21st Century Cures Act, radiology reports are immediately released to patients. However, these reports are often too complex for the lay patient, potentially leading to stress and anxiety. While solutions such as patien...

People expect artificial moral advisors to be more utilitarian and distrust utilitarian moral advisors.

Cognition
As machines powered by artificial intelligence increase in their technological capacities, there is a growing interest in the theoretical and practical idea of artificial moral advisors (AMAs): systems powered by artificial intelligence that are expl...

Explainable AI and trust: How news media shapes public support for AI-powered autonomous passenger drones.

Public understanding of science (Bristol, England)
This study delves into the intricate relationships between attention to AI in news media, perceived AI explainability, trust in AI, and public support for autonomous passenger drones. Using structural equation modelling ( = 1,002), we found significa...

Clouds on the horizon: clinical decision support systems, the control problem, and physician-patient dialogue.

Medicine, health care, and philosophy
Artificial intelligence-based clinical decision support systems have a potential to improve clinical practice, but they may have a negative impact on the physician-patient dialogue, because of the control problem. Physician-patient dialogue depends o...

When the bot walks the talk: Investigating the foundations of trust in an artificial intelligence (AI) chatbot.

Journal of experimental psychology. General
The concept of trust in artificial intelligence (AI) has been gaining increasing relevance for understanding and shaping human interaction with AI systems. Despite a growing literature, there are disputes as to whether the processes of trust in AI ar...