A review of the role of artificial intelligence in healthcare

A Al Kuwaiti, K Nazer, A Al-Reedy, S Al-Shehri… - Journal of personalized …, 2023 - mdpi.com
Artificial intelligence (AI) applications have transformed healthcare. This study is based on a
general literature review uncovering the role of AI in healthcare and focuses on the following …

[HTML][HTML] Medical 4.0 technologies for healthcare: Features, capabilities, and applications

A Haleem, M Javaid, RP Singh, R Suman - Internet of Things and Cyber …, 2022 - Elsevier
Abstract The Fourth Industrial Revolution may help many sectors and industries, whereas
healthcare will be significantly impacted. Medical advances will be swifter, better and more …

A dependable hybrid machine learning model for network intrusion detection

MA Talukder, KF Hasan, MM Islam, MA Uddin… - Journal of Information …, 2023 - Elsevier
Network intrusion detection systems (NIDSs) play an important role in computer network
security. There are several detection mechanisms where anomaly-based automated …

Federated learning: A survey on enabling technologies, protocols, and applications

M Aledhari, R Razzak, RM Parizi, F Saeed - IEEE Access, 2020 - ieeexplore.ieee.org
This paper provides a comprehensive study of Federated Learning (FL) with an emphasis
on enabling software and hardware platforms, protocols, real-life applications and use …

Innovations in genomics and big data analytics for personalized medicine and health care: A review

M Hassan, FM Awan, A Naz… - International journal of …, 2022 - mdpi.com
Big data in health care is a fast-growing field and a new paradigm that is transforming case-
based studies to large-scale, data-driven research. As big data is dependent on the …

Artificial intelligence in drug discovery and development

KK Mak, YH Wong, MR Pichika - Drug Discovery and Evaluation: Safety …, 2023 - Springer
This chapter comprehensively explores the pivotal role of artificial intelligence (AI) in drug
discovery and development, encapsulating its potentials, methodologies, real-world …

On the analyses of medical images using traditional machine learning techniques and convolutional neural networks

S Iqbal, A N. Qureshi, J Li, T Mahmood - Archives of Computational …, 2023 - Springer
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …

The recent progress and applications of digital technologies in healthcare: a review

M Senbekov, T Saliev, Z Bukeyeva… - … of telemedicine and …, 2020 - Wiley Online Library
Background. The implementation of medical digital technologies can provide better
accessibility and flexibility of healthcare for the public. It encompasses the availability of …

Artificial intelligence adoption in the post COVID-19 new-normal and role of smart technologies in transforming business: a review

P Agarwal, S Swami, SK Malhotra - Journal of Science and …, 2024 - emerald.com
Purpose The purpose of this paper is to give an overview of artificial intelligence (AI) and
other AI-enabled technologies and to describe how COVID-19 affects various industries …

Blockchain-enabled pharmaceutical cold chain: Applications, key challenges, and future trends

SMH Bamakan, SG Moghaddam… - Journal of Cleaner …, 2021 - Elsevier
Cold chains are temperature-controlled supply chains and have a high priority from the
managerial point of view. The pharmaceutical cold chain, in particular, is a complex and …