AIMC Topic: Trust

Clear Filters Showing 241 to 250 of 295 articles

The impact of AI explanations on clinicians' trust and diagnostic accuracy in breast cancer.

Applied ergonomics
Advances in machine learning have created new opportunities to develop artificial intelligence (AI)-based clinical decision support systems using past clinical data and improve diagnosis decisions in life-threatening illnesses such breast cancer. Pro...

When Machines Decide: Exploring How Trust in AI Shapes the Relationship Between Clinical Decision Support Systems and Nurses' Decision Regret: A Cross-Sectional Study.

Nursing in critical care
BACKGROUND: Artificial intelligence (AI)-based Clinical Decision Support Systems (AI-CDSS) are increasingly implemented in intensive care settings to support nurses in complex, time-sensitive decisions, aiming to improve accuracy, efficiency and pati...

AI-Enhanced Rural Medical Education: Bridging Gaps and Building Trust.

Academic medicine : journal of the Association of American Medical Colleges
Persistent geographic and specialty-based disparities in health care workforce distribution have created critical gaps in rural health care access, resulting in disproportionate morbidity and mortality in underserved communities. This commentary exam...

Research Trends and Focus of Trust in Healthcare-Based AI: A Co-Occurrence Analysis and Modified Scoping Review.

Studies in health technology and informatics
BACKGROUND: As the potential of artificial intelligence (AI) in healthcare (HC) grows, so too does the number of potential risks, which has contributed to the development of regulations at national and international level that specifically address tr...

Intuitive judgements towards artificial intelligence verdicts of moral transgressions.

The British journal of social psychology
Automated decision-making systems have become increasingly prevalent in morally salient domains of services, introducing ethically significant consequences. In three pre-registered studies (N = 804), we experimentally investigated whether people's ju...

Factors Associated With the Level of Trust in Health Information Robots Among the General Population From a Socioecological Model Perspective: Network Analysis.

Journal of medical Internet research
BACKGROUND: Although robots have emerged as a new means of delivering health information, with the advancement of artificial intelligence technology, individuals still face challenges in deciding whether to trust the health information provided by th...

Proactive vs. passive algorithmic ethics practices in healthcare: the moderating role of healthcare engagement type in patients' responses.

BMC medical ethics
BACKGROUND: Artificial intelligence (AI) is transforming healthcare, but concerns about algorithmic biases and ethical challenges hinder patient acceptance. This study examined the effects of proactive versus passive algorithmic ethics practices on p...

Relational Ethics in the Administration of Healthcare Technology: AI, Automation and Proper Distance.

Sociology of health & illness
Automation and AI-driven decision support systems are increasingly reshaping healthcare, particularly in diagnostic and clinical management contexts. Although their potential to enhance access, efficiency and personalisation is widely recognised, the...

Medical Mistrust in Online Cancer Communities: A Large-Scale Analysis Across 10 Cancer Entities.

Psycho-oncology
BACKGROUND: Medical mistrust is a barrier to optimal cancer care. Analyzing social media posts where patients voice mistrust provides an opportunity to understand its variations and derive potential ways to address medical mistrust.

User Intent to Use DeepSeek for Health Care Purposes and Their Trust in the Large Language Model: Multinational Survey Study.

JMIR human factors
BACKGROUND: Generative artificial intelligence (AI)-particularly large language models (LLMs)-has generated unprecedented interest in applications ranging from everyday questions and answers to health-related inquiries. However, little is known about...