[HTML][HTML] Privacy-preserving artificial intelligence in healthcare: Techniques and applications

N Khalid, A Qayyum, M Bilal, A Al-Fuqaha… - Computers in Biology and …, 2023 - Elsevier
There has been an increasing interest in translating artificial intelligence (AI) research into
clinically-validated applications to improve the performance, capacity, and efficacy of …

Federated learning for privacy preservation in smart healthcare systems: A comprehensive survey

M Ali, F Naeem, M Tariq… - IEEE journal of biomedical …, 2022 - ieeexplore.ieee.org
Recent advances in electronic devices and communication infrastructure have
revolutionized the traditional healthcare system into a smart healthcare system by using …

Prompt engineering for healthcare: Methodologies and applications

J Wang, E Shi, S Yu, Z Wu, C Ma, H Dai, Q Yang… - arXiv preprint arXiv …, 2023 - arxiv.org
Prompt engineering is a critical technique in the field of natural language processing that
involves designing and optimizing the prompts used to input information into models, aiming …

[HTML][HTML] 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 …

Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems

H Alqahtani, G Kumar - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …

[HTML][HTML] Internet of medical things and healthcare 4.0: Trends, requirements, challenges, and research directions

M Osama, AA Ateya, MS Sayed, M Hammad, P Pławiak… - Sensors, 2023 - mdpi.com
Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It
provides approaches to achieving precision medicine that delivers healthcare services …

A privacy-aware framework for detecting cyber attacks on internet of medical things systems using data fusion and quantum deep learning

M Al-Hawawreh, MS Hossain - Information Fusion, 2023 - Elsevier
Abstract Internet of Medical Things (IoMT) devices and systems are often designed without
adequate security, leaving them highly susceptible to cyber threats. Unlike other IoT …

STSIR: An individual-group game-based model for disclosing virus spread in Social Internet of Things

G Wu, L Xie, H Zhang, J Wang, S Shen, S Yu - Journal of Network and …, 2023 - Elsevier
Abstract Social Internet of Things (SIoT) with deep integration of Internet of Things and social
networks has become a target of a large number of hackers who attempt to spread viruses …

[HTML][HTML] Artificial intelligence for IoMT security: A review of intrusion detection systems, attacks, datasets and Cloud-Fog-Edge architectures

ML Hernandez-Jaimes, A Martinez-Cruz… - Internet of Things, 2023 - Elsevier
Recent advances in the Internet of Medical Things (IoMT) have impacted traditional medical
treatment and have evolved data communications in the Smart Healthcare scenario …

Fusion of federated learning and industrial Internet of Things: A survey

P Boobalan, SP Ramu, QV Pham, K Dev, S Pandya… - Computer Networks, 2022 - Elsevier
Abstract Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …