IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art

AS Albahri, JK Alwan, ZK Taha, SF Ismail… - Journal of Network and …, 2021 - Elsevier
Numerous studies have focused on making telemedicine smart through the Internet of
Things (IoT) technology. These works span a wide range of research areas to enhance …

Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature

T Yigitcanlar, KC Desouza, L Butler, F Roozkhosh - Energies, 2020 - mdpi.com
Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the
use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban …

The coming of age of artificial intelligence in medicine

VL Patel, EH Shortliffe, M Stefanelli, P Szolovits… - Artificial intelligence in …, 2009 - Elsevier
This paper is based on a panel discussion held at the Artificial Intelligence in Medicine
Europe (AIME) conference in Amsterdam, The Netherlands, in July 2007. It had been more …

IT support for healthcare processes–premises, challenges, perspectives

R Lenz, M Reichert - Data & Knowledge Engineering, 2007 - Elsevier
Healthcare processes require the cooperation of different organizational units and medical
disciplines. In such an environment optimal process support becomes crucial. Though …

[HTML][HTML] Fair and equitable AI in biomedical research and healthcare: Social science perspectives

R Baumgartner, P Arora, C Bath, D Burljaev… - Artificial Intelligence in …, 2023 - Elsevier
Artificial intelligence (AI) offers opportunities but also challenges for biomedical research
and healthcare. This position paper shares the results of the international conference “Fair …

Information overload within the health care system: a literature review

A Hall, G Walton - Health Information & Libraries Journal, 2004 - Wiley Online Library
There is a widespread view held by health clinicians that their work effectiveness is impaired
by 'information overload.'Building upon a previous work by Wilson, a review of the literature …

[HTML][HTML] The last mile: where artificial intelligence meets reality

E Coiera - Journal of medical Internet research, 2019 - jmir.org
Although much effort is focused on improving the technical performance of artificial
intelligence, there are compelling reasons to focus more on the implementation of this …

The probabilistic program dependence graph and its application to fault diagnosis

GK Baah, A Podgurski, MJ Harrold - Proceedings of the 2008 …, 2008 - dl.acm.org
This paper presents an innovative model of a program's internal behavior over a set of test
inputs, called the probabilistic program dependence graph (PPDG), that facilitates …

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

K Cresswell, M Callaghan, S Khan… - Health Informatics …, 2020 - journals.sagepub.com
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 …

Debunking the myth of industry 4.0 in health care: insights from a systematic literature review

M Cavallone, R Palumbo - The TQM Journal, 2020 - emerald.com
Purpose Industry 4.0, artificial intelligence and digitalization have got a momentum in health
care. However, scholars and practitioners do not agree on their implications on health …