Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions

P Kumar, S Chauhan, LK Awasthi - Engineering Applications of Artificial …, 2023 - Elsevier
The use of artificial intelligence (AI) in medicine is beginning to alter current procedures in
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …

Machine learning and deep learning in smart manufacturing: The smart grid paradigm

T Kotsiopoulos, P Sarigiannidis, D Ioannidis… - Computer Science …, 2021 - Elsevier
Industry 4.0 is the new industrial revolution. By connecting every machine and activity
through network sensors to the Internet, a huge amount of data is generated. Machine …

Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects

SL Wamba-Taguimdje, SF Wamba… - Business process …, 2020 - emerald.com
Purpose The main purpose of our study is to analyze the influence of Artificial Intelligence
(AI) on firm performance, notably by building on the business value of AI-based …

[HTML][HTML] Artificial intelligence in health care: bibliometric analysis

Y Guo, Z Hao, S Zhao, J Gong, F Yang - Journal of Medical Internet …, 2020 - jmir.org
Background As a critical driving power to promote health care, the health care–related
artificial intelligence (AI) literature is growing rapidly. Objective The purpose of this analysis …

A study of artificial intelligence on employee performance and work engagement: the moderating role of change leadership

DT Wijayati, Z Rahman, MFW Rahman… - International Journal of …, 2022 - emerald.com
Purpose This paper aims to explore employee perceptions of companies engaged in
services and banking of the role of change leadership on the application of artificial …

[HTML][HTML] A predictive analytics approach for stroke prediction using machine learning and neural networks

S Dev, H Wang, CS Nwosu, N Jain, B Veeravalli… - Healthcare …, 2022 - Elsevier
The negative impact of stroke in society has led to concerted efforts to improve the
management and diagnosis of stroke. With an increased synergy between technology and …

Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science

A Agrawal, A Choudhary - Apl Materials, 2016 - pubs.aip.org
Our ability to collect “big data” has greatly surpassed our capability to analyze it,
underscoring the emergence of the fourth paradigm of science, which is datadriven …

Healthcare applications using blockchain technology: Motivations and challenges

S Ramzan, A Aqdus, V Ravi, D Koundal… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Blockchain technology is one of the most important inventions and creative advancements
that play a crucial role in today's business world. Blockchain technology is heading in the …

Fraud detection system: A survey

A Abdallah, MA Maarof, A Zainal - Journal of Network and Computer …, 2016 - Elsevier
The increment of computer technology use and the continued growth of companies have
enabled most financial transactions to be performed through the electronic commerce …

[HTML][HTML] Process mining in healthcare: A literature review

E Rojas, J Munoz-Gama, M Sepúlveda… - Journal of biomedical …, 2016 - Elsevier
Process Mining focuses on extracting knowledge from data generated and stored in
corporate information systems in order to analyze executed processes. In the healthcare …