AIMC Topic: Trust

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Increasing Trust in AI Using Explainable Artificial Intelligence for Histopathology - An Overview.

Studies in health technology and informatics Jun 29, 2023
Digital Pathology is an area that could benefit a lot from the automatic classification of scanned microscopic slides. One of the main problems with this is that the experts need to understand and trust the decisions of the system. This paper is an o...
Artificial Intelligence Databases, Factual Trust Engineering
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The Representation of Trust in Artificial Intelligence Healthcare Research.

Studies in health technology and informatics Jun 29, 2023
Artificial intelligence (AI) tends to emerge as a relevant component of medical care, previously reserved for medical experts. A key factor for the utilization of AI is the user's trust in the AI itself, respectively the AIt's decision process, but A...
Artificial Intelligence Trust Bibliometrics Health Facilities Health Services Research
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How, for whom, and in what contexts will artificial intelligence be adopted in pathology? A realist interview study.

Journal of the American Medical Informatics Association : JAMIA Feb 16, 2023
OBJECTIVE: There is increasing interest in using artificial intelligence (AI) in pathology to improve accuracy and efficiency. Studies of clinicians' perceptions of AI have found only moderate acceptability, suggesting further research is needed rega...
Humans Artificial Intelligence Trust Qualitative Research Seizures Workflow
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Artificial Intelligence and Nursing: It's All About Trust.

Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners Jan 1, 2023
Humans Artificial Intelligence Trust
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Cautious Artificial Intelligence Improves Outcomes and Trust by Flagging Outlier Cases.

JCO clinical cancer informatics Oct 1, 2022
PURPOSE: Artificial intelligence (AI) models for medical image diagnosis are often trained and validated on curated data. However, in a clinical setting, images that are outliers with respect to the training data, such as those representing rare dise...
Humans Artificial Intelligence Trust ROC Curve Data Collection
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Artificial Intelligence: On the Way to Doctor's Trust.

Studies in health technology and informatics Jun 29, 2022
The submission is devoted to reflections on the role of trust to modern IT systems, especially based on the AI technologies. Its purpose is to draw the attention of the medical informatics community to the need to achieve trust at all stages of the l...
Artificial Intelligence Trust Medical Informatics
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When the frameworks don't work: data protection, trust and artificial intelligence.

Journal of medical ethics Apr 1, 2022
Humans Artificial Intelligence Trust Computer Security
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The machine as a partner: Human-machine teaming design using the PRODEC method.

Work (Reading, Mass.) Jan 1, 2022
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...
Humans Artificial Intelligence Computer Simulation Trust Aircraft Engineering
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Trust in AI: why we should be designing for APPROPRIATE reliance.

Journal of the American Medical Informatics Association : JAMIA Dec 28, 2021
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...
Artificial Intelligence Machine Learning Algorithms Trust Automation
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[Let's open the black box: eXplainable Artificial Intelligence (XAI).].

Recenti progressi in medicina Nov 1, 2021
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...
Humans Artificial Intelligence Trust
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