AIMC Topic: Delivery of Health Care

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Automated machine learning: Review of the state-of-the-art and opportunities for healthcare.

Artificial intelligence in medicine
OBJECTIVE: This work aims to provide a review of the existing literature in the field of automated machine learning (AutoML) to help healthcare professionals better utilize machine learning models "off-the-shelf" with limited data science expertise. ...

Measuring the impact of age, gender and dementia on communication-robot interventions in residential care homes.

Geriatrics & gerontology international
AIM: The primary aim of this study was to examine the impact of age, gender and the stage of dementia on the results of an assistive technology intervention that make use of communication robots (com-robots). The intervention was designed to improve ...

Learning from Artificial Intelligence and Big Data in Health Care.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies.

Translational vision science & technology
In recent years, there has been considerable interest in the prospect of machine learning models demonstrating expert-level diagnosis in multiple disease contexts. However, there is concern that the excitement around this field may be associated with...

The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set.

International journal of medical informatics
INTRODUCTION: Research has shown that frailty, a geriatric syndrome associated with an increased risk of negative outcomes for older people, is highly prevalent among residents of residential aged care facilities (also called long term care facilitie...

Radiomics and Machine Learning in Oral Healthcare.

Proteomics. Clinical applications
The increasing storage of information, data, and forms of knowledge has led to the development of new technologies that can help to accomplish complex tasks in different areas, such as in dentistry. In this context, the role of computational methods,...

How to achieve trustworthy artificial intelligence for health.

Bulletin of the World Health Organization
Artificial intelligence holds great promise in terms of beneficial, accurate and effective preventive and curative interventions. At the same time, there is also awareness of potential risks and harm that may be caused by unregulated developments of ...

Artificial intelligence and the ongoing need for empathy, compassion and trust in healthcare.

Bulletin of the World Health Organization
Empathy, compassion and trust are fundamental values of a patient-centred, relational model of health care. In recent years, the quest for greater efficiency in health care, including economic efficiency, has often resulted in the side-lining of thes...

Investigating the use of data-driven artificial intelligence in computerised decision support systems for health and social care: A systematic review.

Health informatics journal
There is growing interest in the potential of artificial intelligence to support decision-making in health and social care settings. There is, however, currently limited evidence of the effectiveness of these systems. The aim of this study was to inv...