AI Medical Compendium Topic

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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...

Optimization-enabled deep learning model for disease detection in IoT platform.

Network (Bristol, England)
Nowadays, Internet of things (IoT) and IoT platforms are extensively utilized in several healthcare applications. The IoT devices produce a huge amount of data in healthcare field that can be inspected on an IoT platform. In this paper, a novel algor...

Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study.

JMIR medical education
BACKGROUND: Large language models, such as ChatGPT, are capable of generating grammatically perfect and human-like text content, and a large number of ChatGPT-generated texts have appeared on the internet. However, medical texts, such as clinical not...

Development of an explainable artificial intelligence model for Asian vascular wound images.

International wound journal
Chronic wounds contribute to significant healthcare and economic burden worldwide. Wound assessment remains challenging given its complex and dynamic nature. The use of artificial intelligence (AI) and machine learning methods in wound analysis is pr...

Call for the responsible artificial intelligence in the healthcare.

BMJ health & care informatics
The integration of artificial intelligence (AI) into healthcare is progressively becoming pivotal, especially with its potential to enhance patient care and operational workflows. This paper navigates through the complexities and potentials of AI in ...

The artificial intelligence revolution in primary care: Challenges, dilemmas and opportunities.

Atencion primaria
Artificial intelligence (AI) can be a valuable tool for primary care (PC), as, among other things, it can help healthcare professionals improve diagnostic accuracy, chronic disease management and the overall efficiency of the care they provide. It is...

Ethical Considerations of Artificial Intelligence in Health Care: Examining the Role of Generative Pretrained Transformer-4.

The Journal of the American Academy of Orthopaedic Surgeons
The integration of artificial intelligence technologies, such as large language models (LLMs), in health care holds potential for improved efficiency and decision support. However, ethical concerns must be addressed before widespread adoption. This a...

A new era is emerging at scientific user facilities.

IUCrJ
Global scientific exchange has been profoundly perturbed by the COVID-19 pandemic, altering user travel behaviours and accelerating the use of remote access. Combined with the advent of artificial intelligence (AI), these trends together can change h...

A Nationwide Network of Health AI Assurance Laboratories.

JAMA
IMPORTANCE: Given the importance of rigorous development and evaluation standards needed of artificial intelligence (AI) models used in health care, nationwide accepted procedures to provide assurance that the use of AI is fair, appropriate, valid, e...