Real-world data: a brief review of the methods, applications, challenges and opportunities

F Liu, D Panagiotakos - BMC Medical Research Methodology, 2022‏ - Springer
Background The increased adoption of the internet, social media, wearable devices, e-
health services, and other technology-driven services in medicine and healthcare has led to …

Federated learning for healthcare: Systematic review and architecture proposal

RS Antunes, C André da Costa, A Küderle… - ACM Transactions on …, 2022‏ - dl.acm.org
The use of machine learning (ML) with electronic health records (EHR) is growing in
popularity as a means to extract knowledge that can improve the decision-making process in …

[HTML][HTML] A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories

D Placido, B Yuan, JX Hjaltelin, C Zheng, AD Haue… - Nature medicine, 2023‏ - nature.com
Pancreatic cancer is an aggressive disease that typically presents late with poor outcomes,
indicating a pronounced need for early detection. In this study, we applied artificial …

Federated learning for smart healthcare: A survey

DC Nguyen, QV Pham, PN Pathirana, M Ding… - ACM Computing …, 2022‏ - dl.acm.org
Recent advances in communication technologies and the Internet-of-Medical-Things (IOMT)
have transformed smart healthcare enabled by artificial intelligence (AI). Traditionally, AI …

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 …

Multimodal data fusion for cancer biomarker discovery with deep learning

S Steyaert, M Pizurica, D Nagaraj… - Nature machine …, 2023‏ - nature.com
Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …

Federated learning for internet of things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - … Surveys & Tutorials, 2021‏ - ieeexplore.ieee.org
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …

The role of artificial intelligence in healthcare: a structured literature review

S Secinaro, D Calandra, A Secinaro… - BMC medical informatics …, 2021‏ - Springer
Abstract Background/Introduction Artificial intelligence (AI) in the healthcare sector is
receiving attention from researchers and health professionals. Few previous studies have …

The ethics of AI in health care: a map** review

J Morley, CCV Machado, C Burr, J Cowls, I Joshi… - Social science & …, 2020‏ - Elsevier
This article presents a map** review of the literature concerning the ethics of artificial
intelligence (AI) in health care. The goal of this review is to summarise current debates and …

[HTML][HTML] A systematic review of the prediction of hospital length of stay: Towards a unified framework

K Stone, R Zwiggelaar, P Jones… - PLOS digital …, 2022‏ - journals.plos.org
Hospital length of stay of patients is a crucial factor for the effective planning and
management of hospital resources. There is considerable interest in predicting the LoS of …