Technoethical Considerations for Advancing Health Literacy and Medical Practice: A Posthumanist Framework in the Age of Healthcare 5.0

MB Garcia, PS Garcia, RR Maaliw… - … for Health Literacy …, 2024 - igi-global.com
The integration of cutting-edge technologies into health literacy and medical practice
presents unprecedented opportunities and ethical challenges. This chapter delves into the …

FedCSCD-GAN: A secure and collaborative framework for clinical cancer diagnosis via optimized federated learning and GAN

A Rehman, H Xing, L Feng, M Hussain, N Gulzar… - … Signal Processing and …, 2024 - Elsevier
Digital technologies present unrivaled opportunities to improve healthcare services
worldwide. Medical devices and hospitals are now using innovative techniques to diagnose …

Deep learning for lungs cancer detection: a review

R Javed, T Abbas, AH Khan, A Daud, A Bukhari… - Artificial Intelligence …, 2024 - Springer
Although lung cancer has been recognized to be the deadliest type of cancer, a good
prognosis and efficient treatment depend on early detection. Medical practitioners' burden is …

Emerging Technologies for Enhancing Robust Cybersecurity Measures for Business Intelligence in Healthcare 5.0

AR Sakhawat, A Fatima, S Abbas, M Ahmad… - … to Protect Business …, 2024 - igi-global.com
Healthcare 5.0 represents the next phase in healthcare evolution. It aims to harness the
creativity and expertise of healthcare professionals, integrating them with efficient …

Mapping the Research Landscape of Industry 5.0 from a Machine Learning and Big Data Analytics Perspective: A Bibliometric Approach

A Domenteanu, B Cibu, C Delcea - Sustainability, 2024 - mdpi.com
Over the past years, machine learning and big data analysis have emerged, starting as a
scientific and fictional domain, very interesting but difficult to test, and becoming one of the …

A blockchain-empowered federated learning-based framework for data privacy in lung disease detection system

M Gupta, M Kumar, Y Gupta - Computers in Human Behavior, 2024 - Elsevier
Lung diseases are one of the prime reasons for mortality globally, having an estimated five
million per year fatal cases worldwide. This is a growing global concern so early detection …

A comprehensive secure system enabling healthcare 5.0 using federated learning, intrusion detection and blockchain

J Almalki, SM Alshahrani, NA Khan - PeerJ Computer Science, 2024 - peerj.com
Recently, the use of the Internet of Medical Things (IoMT) has gained popularity across
various sections of the health sector. The historical security risks of IoMT devices themselves …

FEDRak: Federated Learning-Based Symmetric Code Statement Ranking Model for Software Fault Forecasting

A Alhumam - Symmetry, 2023 - mdpi.com
Software Fault Forecasting (SFF) pertains to timely identifying sections in software projects
that are prone to faults and may result in significant development expenses. Deep learning …

Establishment and correction of the model for smoke diffusion in minimum quantity lubrication cutting

T He, N Liu, H Chen, H Lu, Y Zheng, D Li… - The International Journal …, 2024 - Springer
The large amount of smoke generated during minimum quantity lubrication (MQL)
processing not only pollutes the ambient air but also directly endangers the health of …

Federated edge-cloud framework for heart disease risk prediction using blockchain

U Ghosh, D Das, P Chatterjee, N Shillingford - IFIP International Internet of …, 2023 - Springer
Heart disease is a term used to describe a range of conditions that affect the heart, such as
coronary artery disease, heart failure, and arrhythmias. It is a leading cause of death globally …