AI Medical Compendium Topic

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

Trust

Showing 221 to 230 of 241 articles

Clear Filters

The machine as a partner: Human-machine teaming design using the PRODEC method.

Work (Reading, Mass.)
BACKGROUND: Human-machine teaming (HMT) typically combines perspectives from systems engineering, artificial intelligence (AI) and human-centered design (HCD), to achieve human systems integration (HSI) through the development of an integrative syste...

Trust in AI: why we should be designing for APPROPRIATE reliance.

Journal of the American Medical Informatics Association : JAMIA
Use of artificial intelligence in healthcare, such as machine learning-based predictive algorithms, holds promise for advancing outcomes, but few systems are used in routine clinical practice. Trust has been cited as an important challenge to meaning...

[Let's open the black box: eXplainable Artificial Intelligence (XAI).].

Recenti progressi in medicina
The so-called "opacity" of artificial intelligence (AI), the black box model, raises concerns about the increasing use in relevant and critical areas of our society such as health, assistance, autonomous driving, military technologies, the economy, f...

The false hope of current approaches to explainable artificial intelligence in health care.

The Lancet. Digital health
The black-box nature of current artificial intelligence (AI) has caused some to question whether AI must be explainable to be used in high-stakes scenarios such as medicine. It has been argued that explainable AI will engender trust with the health-c...

Enhancing trust in AI through industry self-governance.

Journal of the American Medical Informatics Association : JAMIA
Artificial intelligence (AI) is critical to harnessing value from exponentially growing health and healthcare data. Expectations are high for AI solutions to effectively address current health challenges. However, there have been prior periods of ent...

Users' Affective and Cognitive Responses to Humanoid Robots in Different Expertise Service Contexts.

Cyberpsychology, behavior and social networking
The uncanny valley (UCV) model is an influential human-robot interaction theory that explains the relationship between the resemblance that robots have to humans and attitudes toward robots. Despite its extraordinary worth, this model remains unteste...

Trust and medical AI: the challenges we face and the expertise needed to overcome them.

Journal of the American Medical Informatics Association : JAMIA
Artificial intelligence (AI) is increasingly of tremendous interest in the medical field. How-ever, failures of medical AI could have serious consequences for both clinical outcomes and the patient experience. These consequences could erode public tr...