[HTML][HTML] Artificial intelligence in optimizing the functioning of emergency departments; a systematic review of current solutions

S Aleksandra, K Robert, K Klaudia… - Archives of Academic …, 2024 - ncbi.nlm.nih.gov
Methods: This systematic review utilized data compiled from three key scientific databases:
PubMed (2045 publications), Scopus (877 publications), and Web of Science (2495 …

Privacy-enhanced pneumonia diagnosis: IoT-enabled federated multi-party computation in industry 5.0

AA Siddique, W Boulila, MS Alshehri… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Pneumonia is a significant global health concern that can lead to severe and sometimes
fatal consequences. Timely identification and classification of pneumonia can substantially …

Human-AI symbiosis: a path forward to improve chest radiography and the role of radiologists in patient care

WB Gefter, M Prokop, JB Seo, S Raoof, CP Langlotz… - Radiology, 2024 - pubs.rsna.org
To start, we need more rigorous testing of algorithms with prospective, pragmatic, real-world
clinical trials in diverse settings to assure robust generalizability, lack of biases, and a high …

Artificial intelligence-based model for COVID-19 prognosis incorporating chest radiographs and clinical data; a retrospective model development and validation study

SL Walston, T Matsumoto, Y Miki… - The British Journal of …, 2022 - academic.oup.com
Objectives: The purpose of this study was to develop an artificial intelligence-based model to
prognosticate COVID-19 patients at admission by combining clinical data and chest …

Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic

H Khalili, MA Wimmer - Life, 2024 - mdpi.com
By applying AI techniques to a variety of pandemic-relevant data, artificial intelligence (AI)
has substantially supported the control of the spread of the SARS-CoV-2 virus. Along with …

Unraveling complex relationships between COVID-19 risk factors using machine learning based models for predicting mortality of hospitalized patients and …

MM Banoei, H Rafiepoor, K Zendehdel… - Frontiers in …, 2023 - frontiersin.org
Background At the end of 2019, the coronavirus disease 2019 (COVID-19) pandemic
increased the hospital burden of COVID-19 caused by the SARS-Cov-2 and became the …

[HTML][HTML] Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models

DI Morís, J de Moura, PJ Marcos, EM Rey… - … Signal Processing and …, 2023 - Elsevier
COVID-19 is a global threat for the healthcare systems due to the rapid spread of the
pathogen that causes it. In such situation, the clinicians must take important decisions, in an …

Proposal and definition of an intelligent decision-support system based on deep learning techniques for the management of possible COVID-19 cases in patients …

D Corbacho-Abelaira, M Casal-Guisande… - IEEE …, 2024 - ieeexplore.ieee.org
The COVID-19 pandemic drastically transformed the integration of technology into medicine,
testing the ability of health systems to make quick and effective decisions. This has been …

[PDF][PDF] Artificial Intelligence-Empowered Radiology—Current Status and Critical Review

R Obuchowicz, J Lasek, M Wodziński, A Piórkowski… - Diagnostics, 2025 - researchgate.net
Humanity stands at a pivotal moment of technological revolution, with artificial intelligence
(AI) reshaping fields traditionally reliant on human cognitive abilities. This transition, driven …

Deep learning and medical imaging for COVID-19 diagnosis: A comprehensive survey

S Wu, Y Ren, A Yang, X Chen, X Pu, J He, L Nie… - arXiv preprint arXiv …, 2023 - arxiv.org
COVID-19 (Coronavirus disease 2019) has been quickly spreading since its outbreak,
impacting financial markets and healthcare systems globally. Countries all around the world …