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Trust

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Population Preferences for Performance and Explainability of Artificial Intelligence in Health Care: Choice-Based Conjoint Survey.

Journal of medical Internet research
BACKGROUND: Certain types of artificial intelligence (AI), that is, deep learning models, can outperform health care professionals in particular domains. Such models hold considerable promise for improved diagnostics, treatment, and prevention, as we...

Mobile perceived trust mediation on the intention and adoption of FinTech innovations using mobile technology: A systematic literature review.

F1000Research
The banking and financial sectors have witnessed a significant development recently due to financial technology (FinTech), and it has become an essential part of the financial system. Many factors helped the development of this sector, including the ...

Do People Trust in Robot-Assisted Surgery? Evidence from Europe.

International journal of environmental research and public health
(1) Background: The goal of the paper was to establish the factors that influence how people feel about having a medical operation performed on them by a robot. (2) Methods: Data were obtained from a 2017 Flash Eurobarometer (number 460) of the Europ...

Patients' Perceptions Toward Human-Artificial Intelligence Interaction in Health Care: Experimental Study.

Journal of medical Internet research
BACKGROUND: It is believed that artificial intelligence (AI) will be an integral part of health care services in the near future and will be incorporated into several aspects of clinical care such as prognosis, diagnostics, and care planning. Thus, m...

Believing in black boxes: machine learning for healthcare does not need explainability to be evidence-based.

Journal of clinical epidemiology
OBJECTIVE: To examine the role of explainability in machine learning for healthcare (MLHC), and its necessity and significance with respect to effective and ethical MLHC application.

The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI)-driven symptom checkers are available to millions of users globally and are advocated as a tool to deliver health care more efficiently. To achieve the promoted benefits of a symptom checker, laypeople must tr...

: An investigation of public trust in South Korea.

Journal of communication in healthcare
BACKGROUND: Humanoid robots with artificial intelligence have been implemented in many healthcare facilities including hospitals, nursing homes, and many others. Due to the development of technology and the increasing use of humanoid robots, it is ex...

Should we replace radiologists with deep learning? Pigeons, error and trust in medical AI.

Bioethics
The sudden rise in the ability of machine learning methodology, such as deep neural networks, to identify and predict with great accuracy instances of malignant cell growth from radiological images has led prominent developers of this technology, suc...

Do People Favor Artificial Intelligence Over Physicians? A Survey Among the General Population and Their View on Artificial Intelligence in Medicine.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
OBJECTIVES: To investigate the general population's view on artificial intelligence (AI) in medicine with specific emphasis on 3 areas that have experienced major progress in AI research in the past few years, namely radiology, robotic surgery, and d...