AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Trust

Showing 91 to 100 of 241 articles

Clear Filters

Perceptual discrimination in the face perception of robots is attenuated compared to humans.

Scientific reports
When interacting with groups of robots, we tend to perceive them as a homogenous group where all group members have similar capabilities. This overgeneralization of capabilities is potentially due to a lack of perceptual experience with robots or a l...

[How trustworthy is artificial intelligence? : A model for the conflict between objectivity and subjectivity].

Innere Medizin (Heidelberg, Germany)
For the integration of artificial intelligence (AI) systems into medical processes it is decisive to address both the trustworthiness of these systems and the trust that physicians and patients have in those systems. Too much trust can result in phys...

Choosing human over AI doctors? How comparative trust associations and knowledge relate to risk and benefit perceptions of AI in healthcare.

Risk analysis : an official publication of the Society for Risk Analysis
The development of artificial intelligence (AI) in healthcare is accelerating rapidly. Beyond the urge for technological optimization, public perceptions and preferences regarding the application of such technologies remain poorly understood. Risk an...

A scalable second order optimizer with an adaptive trust region for neural networks.

Neural networks : the official journal of the International Neural Network Society
We introduce Tadam (Trust region ADAptive Moment estimation), a new optimizer based on the trust region of the second-order approximation of the loss using the Fisher information matrix. Despite the enhanced gradient estimations offered by second-ord...

An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study.

Journal of medical Internet research
BACKGROUND: Predicting the likelihood of success of weight loss interventions using machine learning (ML) models may enhance intervention effectiveness by enabling timely and dynamic modification of intervention components for nonresponders to treatm...

The (Im)perfect Automation Schema: Who Is Trusted More, Automated or Human Decision Support?

Human factors
OBJECTIVE: This study's purpose was to better understand the dynamics of trust attitude and behavior in human-agent interaction.

Understanding Trust Determinants in a Live Chat Service on Familial Cancer: Qualitative Triangulation Study With Focus Groups and Interviews in Germany.

Journal of medical Internet research
BACKGROUND: In dealing with familial cancer risk, seeking web-based health information can be a coping strategy for different stakeholder groups (ie, patients, relatives, and those suspecting an elevated familial cancer risk). In the vast digital lan...

Mapping AI-ethics' dilemmas in forensic case work: To trust AI or not?

Forensic science international
In this paper I discuss the challenges and ethical considerations surrounding the use of Artificial Intelligence (AI) in forensic science, particularly in criminal cases, and I emphasize the need for a comprehensive definition of AI systems within th...

Exploring the artificial intelligence "Trust paradox": Evidence from a survey experiment in the United States.

PloS one
Advances in Artificial Intelligence (AI) are poised to transform society, national defense, and the economy by increasing efficiency, precision, and safety. Yet, widespread adoption within society depends on public trust and willingness to use AI-ena...