AI Medical Compendium Topic:
Delivery of Health Care

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Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare.

Current medical science
Chronic diseases are a growing concern worldwide, with nearly 25% of adults suffering from one or more chronic health conditions, thus placing a heavy burden on individuals, families, and healthcare systems. With the advent of the "Smart Healthcare" ...

Advancing primary care with Artificial Intelligence and Machine Learning.

Healthcare (Amsterdam, Netherlands)
Primary care is the largest healthcare delivery platform in the US. Facing the Artificial Intelligence and Machine Learning technology (AI/ML) revolution, the primary care community would benefit from a roadmap revealing priority areas and opportunit...

[Use of medical archives for research and patient care].

Der Urologe. Ausg. A
In recent years, technology in healthcare has experienced a dynamic increase, with the collection of data being a central component. In particular, artificial intelligence (AI), such as machine learning and deep learning, makes it possible to perform...

Population Preferences for Performance and Explainability of Artificial Intelligence in Health Care: Choice-Based Conjoint Survey.

Journal of medical Internet research
BACKGROUND: Certain types of artificial intelligence (AI), that is, deep learning models, can outperform health care professionals in particular domains. Such models hold considerable promise for improved diagnostics, treatment, and prevention, as we...

Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice.

Progress in retinal and eye research
An increasing number of artificial intelligence (AI) systems are being proposed in ophthalmology, motivated by the variety and amount of clinical and imaging data, as well as their potential benefits at the different stages of patient care. Despite a...

Transporting an Artificial Intelligence Model to Predict Emergency Cesarean Delivery: Overcoming Challenges Posed by Interfacility Variation.

Journal of medical Internet research
Research using artificial intelligence (AI) in medicine is expected to significantly influence the practice of medicine and the delivery of health care in the near future. However, for successful deployment, the results must be transported across hea...

Diagnostic Approach for Accurate Diagnosis of COVID-19 Employing Deep Learning and Transfer Learning Techniques through Chest X-ray Images Clinical Data in E-Healthcare.

Sensors (Basel, Switzerland)
COVID-19 is a transferable disease that is also a leading cause of death for a large number of people worldwide. This disease, caused by SARS-CoV-2, spreads very rapidly and quickly affects the respiratory system of the human being. Therefore, it is ...

A mental models approach for defining explainable artificial intelligence.

BMC medical informatics and decision making
BACKGROUND: Wide-ranging concerns exist regarding the use of black-box modelling methods in sensitive contexts such as healthcare. Despite performance gains and hype, uptake of artificial intelligence (AI) is hindered by these concerns. Explainable A...

Predicting the Travel Distance of Patients to Access Healthcare Using Deep Neural Networks.

IEEE journal of translational engineering in health and medicine
OBJECTIVE: Improving geographical access remains a key issue in determining the sufficiency of regional medical resources during health policy design. However, patient choices can be the result of the complex interactivity of various factors. The aim...

Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence.

International journal of nursing studies
BACKGROUND: Research on technologies based on artificial intelligence in healthcare has increased during the last decade, with applications showing great potential in assisting and improving care. However, introducing these technologies into nursing ...