AI Medical Compendium Topic

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Delivery of Health Care

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Strategy maintenance in smart healthcare systems.

BMC medical informatics and decision making
BACKGROUNDS: The size of medical strategies is expected to grow in conjunction with the expansion of modern diseases' complexity. When a strategy includes more than ten statements, its manual management becomes very challenging, and in some cases, im...

Security Implications of AI Chatbots in Health Care.

Journal of medical Internet research
Artificial intelligence (AI) chatbots like ChatGPT and Google Bard are computer programs that use AI and natural language processing to understand customer questions and generate natural, fluid, dialogue-like responses to their inputs. ChatGPT, an AI...

Legal and ethical principles governing the use of artificial intelligence in radiology services in South Africa.

Developing world bioethics
Artificial intelligence (AI) will drastically change the healthcare system. Radiology is one speciality that is most affected as AI algorithms are increasingly used in diagnostic imaging. AI-enhanced health technologies will, inter alia, increase wor...

Applications of Artificial Intelligence in Health Care Delivery.

Journal of medical systems
Health care costs now comprise nearly one-fifth of the United States' gross domestic product, with the last 25 years marked by rising administrative costs, a lack of labor productivity growth, and rising patient and physician dissatisfaction. Policy ...

Establishing a culture of highly reliable quality care.

Surgery
Reliability is the likelihood that a process will perform a required function without failure, consistent over time and personnel changes. In the rapidly evolving healthcare landscape, reliably delivering excellent surgical care demands a comprehensi...

A knowledge graph-based data harmonization framework for secondary data reuse.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The adoption of new technologies in clinical care systems has propitiated the availability of a great amount of valuable data. However, this data is usually heterogeneous, requiring its harmonization to be integrated and ana...

American public opinion on artificial intelligence in healthcare.

PloS one
Billions of dollars are being invested into developing medical artificial intelligence (AI) systems and yet public opinion of AI in the medical field seems to be mixed. Although high expectations for the future of medical AI do exist in the American ...

AI maturity in health care: An overview of 10 OECD countries.

Health policy (Amsterdam, Netherlands)
BACKGROUND: Artificial Intelligence (AI) and its applications in health care are on the agenda of policymakers around the world, but a major challenge remains, namely, to set policies that will ensure wide acceptance and capture the value of AI while...

Artificial Intelligence in Surgical Research: Accomplishments and Future Directions.

American journal of surgery
MINI-ABSTRACT: The study introduces various methods of performing conventional ML and their implementation in surgical areas, and the need to move beyond these traditional approaches given the advent of big data.

Digital Twin in Healthcare: A Study for Chronic Wound Management.

IEEE journal of biomedical and health informatics
Although the concept of digital twin technology has been in existence for nearly half a century, its application in healthcare is a relatively recent development. In healthcare, the utilization of digital twin and data-driven models has proven to enh...