AIMC Topic: Delivery of Health Care

Clear Filters Showing 431 to 440 of 1609 articles

Current and potential applications of artificial intelligence in medical imaging practice: A narrative review.

Journal of medical imaging and radiation sciences
BACKGROUND AND PURPOSE: Artificial intelligence (AI) is present in many areas of our lives. Much of the digital data generated in health care can be used for building automated systems to bring improvements to existing workflows and create a more per...

The ethical matrix as a method for involving people living with disease and the wider public (PPI) in near-term artificial intelligence research.

Radiography (London, England : 1995)
INTRODUCTION: The rapid pace of research in the field of Artificial Intelligence in medicine has associated risks for near-term AI. Ethical considerations of the use of AI in medicine remain a subject of much debate. Concurrently, the Involvement of ...

Learning From Experience and Finding the Right Balance in the Governance of Artificial Intelligence and Digital Health Technologies.

Journal of medical Internet research
Artificial intelligence (AI) and machine learning medical tools have the potential to be transformative in care delivery; however, this change will only be realized if accompanied by effective governance that ensures patient safety and public trust. ...

An Opinion on ChatGPT in Health Care-Written by Humans Only.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine

[Eight misconceptions about AI in healthcare].

Nederlands tijdschrift voor geneeskunde
It is of paramount importance that healthcare professionals can participate in the academic and societal debate surrounding medical AI. To realise this critical-constructive guidance of AI, it is necessary to be able to distinguish between different ...

Commentary: Patient Perspectives on Artificial Intelligence; What have We Learned and How Should We Move Forward?

Advances in therapy
Artificial intelligence (AI) in healthcare has now begun to make its contributions to real-world patient care with varying degrees of both public and clinical acceptability around it. The heavy investment from governments, industry and academia neede...

Exploring patient perspectives on the secondary use of their personal health information: an interview study.

BMC medical informatics and decision making
BACKGROUND: The increased digitalisation of health records has resulted in increased opportunities for the secondary use of health information for advancing healthcare. Understanding how patients want their health information used is vital to ensure ...

Privacy-preserving artificial intelligence in healthcare: Techniques and applications.

Computers in biology and medicine
There has been an increasing interest in translating artificial intelligence (AI) research into clinically-validated applications to improve the performance, capacity, and efficacy of healthcare services. Despite substantial research worldwide, very ...

Artificial intelligence in healthcare: a mastery.

Biotechnology & genetic engineering reviews
There is a vast development of artificial intelligence (AI) in recent years. Computational technology, digitized data collection and enormous advancement in this field have allowed AI applications to penetrate the core human area of specialization. I...

Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review.

Journal of medical Internet research
BACKGROUND: This paper reviews nationally representative public opinion surveys on artificial intelligence (AI) in the United States, with a focus on areas related to health care. The potential health applications of AI continue to gain attention owi...