AIMC Topic: Delivery of Health Care

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Enhancing the Ambient Assisted Living Capabilities with a Mobile Robot.

Computational intelligence and neuroscience
Ambient assisted living (AAL) environments are currently a key focus of interest as an option to assist and monitor disabled and elderly people. These systems can improve their quality of life and personal autonomy by detecting events such as enterin...

Digital health at fifteen: more human (more needed).

BMC medicine
There is growing appreciation that the success of digital health - whether digital tools, digital interventions or technology-based change strategies - is linked to the extent to which human factors are considered throughout design, development and i...

HABITAT: An IoT Solution for Independent Elderly.

Sensors (Basel, Switzerland)
In this work, a flexible and extensive digital platform for Smart Homes is presented, exploiting the most advanced technologies of the Internet of Things, such as Radio Frequency Identification, wearable electronics, Wireless Sensor Networks, and Art...

The present and future of deep learning in radiology.

European journal of radiology
The advent of Deep Learning (DL) is poised to dramatically change the delivery of healthcare in the near future. Not only has DL profoundly affected the healthcare industry it has also influenced global businesses. Within a span of very few years, ad...

Introduction to artificial intelligence in medicine.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
The term Artificial Intelligence (AI) was coined by John McCarthy in 1956 during a conference held on this subject. However, the possibility of machines being able to simulate human behavior and actually think was raised earlier by Alan Turing who de...

Applications of artificial neural networks in health care organizational decision-making: A scoping review.

PloS one
Health care organizations are leveraging machine-learning techniques, such as artificial neural networks (ANN), to improve delivery of care at a reduced cost. Applications of ANN to diagnosis are well-known; however, ANN are increasingly used to info...

A randomized controlled trial of suicide prevention training for primary care providers: a study protocol.

BMC medical education
BACKGROUND: Suicide is a national public health crisis and a critical patient safety issue. It is the 10th leading cause of death overall and the second leading cause of death among adolescents and young adults (15-34 years old). Research shows 80% o...

Effect of incremental feature enrichment on healthcare text classification system: A machine learning paradigm.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Healthcare tweets are particularly challenging due to its sparse layout and its limited character size. Compared to previous method based on "bag of words" (BOW) model, this study uniquely identifies the enrichment protocol ...

Technological Transformation.

AMA journal of ethics
Technology has enabled bionics and artificial intelligence, each of which can have important applications in health care. As we continue to substitute body parts with machinery, however, we might wonder, "What makes us human?" This drawing interrogat...