A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

AS Albahri, AM Duhaim, MA Fadhel, A Alnoor… - Information …, 2023 - Elsevier
In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …

Artificial intelligence in healthcare: a comprehensive review of its ethical concerns

C Kooli, H Al Muftah - Technological Sustainability, 2022 - emerald.com
Purpose Nowadays, the digitized economy and technological advancements are increasing
at a faster pace. One such technology that is gaining popularity in the healthcare sector is …

[HTML][HTML] Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues

A Rahman, MS Hossain, G Muhammad, D Kundu… - Cluster computing, 2023 - Springer
Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …

Artificial intelligence for sustainable energy: A contextual topic modeling and content analysis

T Saheb, M Dehghani, T Saheb - Sustainable Computing: Informatics and …, 2022 - Elsevier
Parallel to the rising debates over sustainable energy and artificial intelligence solutions, the
world is currently discussing the ethics of artificial intelligence and its possible negative …

Defining AMIA's artificial intelligence principles

AE Solomonides, E Koski, SM Atabaki… - Journal of the …, 2022 - academic.oup.com
Recent advances in the science and technology of artificial intelligence (AI) and growing
numbers of deployed AI systems in healthcare and other services have called attention to …

Advancing nursing practice with artificial intelligence: Enhancing preparedness for the future

MKK Rony, MR Parvin, S Ferdousi - Nursing open, 2024 - Wiley Online Library
Aim This article aimed to explore the role of AI in advancing nursing practice, focusing on its
impact on readiness for the future. Design and Methods A position paper, the methodology …

[HTML][HTML] Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach

MA Alsalem, AH Alamoodi, OS Albahri… - Expert Systems with …, 2024 - Elsevier
The purpose of this paper is to propose a novel hybrid framework for evaluating and
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …

[PDF][PDF] The analysis of pain research through the lens of artificial intelligence and machine learning

JN Nagireddi, AK Vyas, MR Sanapati… - Pain …, 2022 - painphysicianjournal.com
Background: Traditional pain assessment methods have significant limitations due to the
high variability in patient reported pain scores and perception of pain by different individuals …

Machine learning in antibacterial discovery and development: A bibliometric and network analysis of research hotspots and trends

K Diéguez-Santana, H González-Díaz - Computers in Biology and Medicine, 2023 - Elsevier
Abstract Machine learning (ML) methods are used in cheminformatics processes to predict
the activity of an unknown drug and thus discover new potential antibacterial drugs. This …

Topical review of artificial intelligence national policies: A mixed method analysis

T Saheb, T Saheb - Technology in Society, 2023 - Elsevier
A number of countries have adopted national policies and directives to balance the
advantages and disadvantages of innovative technologies. The purpose of this paper is to …