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The User Experience of AI.

Med (New York, N.Y.)
The promise of artificial intelligence (AI) and machine learning in healthcare can be realized only when they are smoothly integrated into existing clinical workflows. Doing so requires optimizing the user experience of AI and the data on which these...

Defining AMIA's artificial intelligence principles.

Journal of the American Medical Informatics Association : JAMIA
Recent advances in the science and technology of artificial intelligence (AI) and growing numbers of deployed AI systems in healthcare and other services have called attention to the need for ethical principles and governance. We define and provide a...

Contribution of Artificial Intelligence in Pregnancy: A Scoping Review.

Studies in health technology and informatics
For the past ten years, the healthcare sector and industry has witnessed a surge in Artificial Intelligence (AI) technologies being used in many different medical specialties. Recently, AI-driven technologies have been utilized in medical care for pr...

Assessing performance of artificial neural networks and re-sampling techniques for healthcare datasets.

Health informatics journal
Re-sampling methods to solve class imbalance problems have shown to improve classification accuracy by mitigating the bias introduced by differences in class size. However, it is possible that a model which uses a specific re-sampling technique prior...

Will Artificial Intelligence Replace Nurses? A Debate.

Studies in health technology and informatics
Technological development has enabled Artificial Intelligence (AI) to better support health care delivery and nursing. The need for nurses to be involved and steer the development and implementation of AI in health care is recognized. A 60-minute sci...

A survey of extant organizational and computational setups for deploying predictive models in health systems.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Artificial intelligence (AI) and machine learning (ML) enabled healthcare is now feasible for many health systems, yet little is known about effective strategies of system architecture and governance mechanisms for implementation. Our obje...

Evaluation framework to guide implementation of AI systems into healthcare settings.

BMJ health & care informatics
OBJECTIVES: To date, many artificial intelligence (AI) systems have been developed in healthcare, but adoption has been limited. This may be due to inappropriate or incomplete evaluation and a lack of internationally recognised AI standards on evalua...

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...

Public vs physician views of liability for artificial intelligence in health care.

Journal of the American Medical Informatics Association : JAMIA
The growing use of artificial intelligence (AI) in health care has raised questions about who should be held liable for medical errors that result from care delivered jointly by physicians and algorithms. In this survey study comparing views of physi...