[HTML][HTML] Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond

G Yang, Q Ye, J Xia - Information Fusion, 2022 - Elsevier
Abstract Explainable Artificial Intelligence (XAI) is an emerging research topic of machine
learning aimed at unboxing how AI systems' black-box choices are made. This research field …

Advanced point‐of‐care testing technologies for human acute respiratory virus detection

Z Zhang, P Ma, R Ahmed, J Wang, D Akin… - Advanced …, 2022 - Wiley Online Library
The ever‐growing global threats to human life caused by the human acute respiratory virus
(RV) infections have cost billions of lives, created a significant economic burden, and …

[PDF][PDF] Has the future started? The current growth of artificial intelligence, machine learning, and deep learning

K Aggarwal, MM Mijwil, AH Al-Mistarehi… - Iraqi Journal for …, 2022 - iasj.net
In the modern era, many terms related to artificial intelligence, machine learning, and deep
learning are widely used in domains such as business, healthcare, industries, and military …

Reinforcement learning in healthcare: A survey

C Yu, J Liu, S Nemati, G Yin - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
As a subfield of machine learning, reinforcement learning (RL) aims at optimizing decision
making by using interaction samples of an agent with its environment and the potentially …

Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases

X Luo, S Tong, Z Fang, Z Qu - Marketing Science, 2019 - pubsonline.informs.org
Empowered by artificial intelligence (AI), chatbots are surging as new technologies with both
business potential and customer pushback. This study exploits field experiment data on …

On big data, artificial intelligence and smart cities

Z Allam, ZA Dhunny - Cities, 2019 - Elsevier
Cities are increasingly turning towards specialized technologies to address issues related to
society, ecology, morphology and many others. The emerging concept of Smart Cities highly …

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 …

Application of artificial intelligence in medicine: an overview

P Liu, L Lu, J Zhang, T Huo, S Liu, Z Ye - Current medical science, 2021 - Springer
Artificial intelligence (AI) is a new technical discipline that uses computer technology to
research and develop the theory, method, technique, and application system for the …

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

N Shahid, T Rappon, W Berta - PloS one, 2019 - journals.plos.org
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 …

The impact of artificial intelligence in medicine on the future role of the physician

AS Ahuja - PeerJ, 2019 - peerj.com
The practice of medicine is changing with the development of new Artificial Intelligence (AI)
methods of machine learning. Coupled with rapid improvements in computer processing …