AI Medical Compendium Topic:
Delivery of Health Care

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From Offline to Real-Time Distributed Activity Recognition in Wireless Sensor Networks for Healthcare: A Review.

Sensors (Basel, Switzerland)
This review presents the state of the art and a global overview of research challenges of real-time distributed activity recognition in the field of healthcare. Offline activity recognition is discussed as a starting point to establish the useful con...

Leveraging data and AI to deliver on the promise of digital health.

International journal of medical informatics
Rising rates of NCDs threaten fragile healthcare systems in low- and middle-income countries. Fortunately, new digital technology provides tools to more effectively address the growing dual burden of disease. Two-thirds of the world's population subs...

The role of artificial intelligence in healthcare: a structured literature review.

BMC medical informatics and decision making
BACKGROUND/INTRODUCTION: Artificial intelligence (AI) in the healthcare sector is receiving attention from researchers and health professionals. Few previous studies have investigated this topic from a multi-disciplinary perspective, including accoun...

Voice-Controlled Intelligent Personal Assistants in Health Care: International Delphi Study.

Journal of medical Internet research
BACKGROUND: Voice-controlled intelligent personal assistants (VIPAs), such as Amazon Echo and Google Home, involve artificial intelligence-powered algorithms designed to simulate humans. Their hands-free interface and growing capabilities have a wide...

Artificial Intelligence and Liability in Medicine: Balancing Safety and Innovation.

The Milbank quarterly
Policy Points With increasing integration of artificial intelligence and machine learning in medicine, there are concerns that algorithm inaccuracy could lead to patient injury and medical liability. While prior work has focused on medical malpractic...

Coming to Terms with the Black Box Problem: How to Justify AI Systems in Health Care.

The Hastings Center report
The use of opaque, uninterpretable artificial intelligence systems in health care can be medically beneficial, but it is often viewed as potentially morally problematic on account of this opacity-because the systems are black boxes. Alex John London ...

Safety-driven design of machine learning for sepsis treatment.

Journal of biomedical informatics
Machine learning (ML) has the potential to bring significant clinical benefits. However, there are patient safety challenges in introducing ML in complex healthcare settings and in assuring the technology to the satisfaction of the different regulato...

Introduction to The Spine Journal special issue on artificial intelligence and machine learning.

The spine journal : official journal of the North American Spine Society
In the last 5 years, artificial intelligence (AI) algorithms have made rapid advances for diagnosis and prognosis in fields ranging from dermatology to anesthesiology. How do we make sense of the rise of AI in healthcare and specifically in spine? Ho...

Proposal of a novel Artificial Intelligence Distribution Service platform for healthcare.

F1000Research
In this paper, we focus on presenting a novel AI-based service platform proposal called AIDI (Artificial Intelligence Distribution Interface for healthcare). AIDI proposal is based on our earlier research work in which we evaluated AI-based healthcar...