Commercially available chest radiograph AI tools for detecting airspace disease, pneumothorax, and pleural effusion

L Lind Plesner, FC Müller, MW Brejnebøl, LC Laustrup… - Radiology, 2023 - pubs.rsna.org
Background Commercially available artificial intelligence (AI) tools can assist radiologists in
interpreting chest radiographs, but their real-life diagnostic accuracy remains unclear …

Can artificial intelligence detect Monkeypox from digital skin images?

MA Hussain, T Islam, FUH Chowdhury, BMR Islam - BioRxiv, 2022 - biorxiv.org
An outbreak of Monkeypox has been reported in 75 countries so far, and it is spreading in
fast pace around the world. The clinical attributes of Monkeypox resemble those of …

[HTML][HTML] The AI future of emergency medicine

RJ Petrella - Annals of Emergency Medicine, 2024 - Elsevier
In the coming years, artificial intelligence (AI) and machine learning will likely give rise to
profound changes in the field of emergency medicine, and medicine more broadly. This …

Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals

L Peng, G Luo, A Walker, Z Zaiman… - Journal of the …, 2023 - academic.oup.com
Objective Federated learning (FL) allows multiple distributed data holders to collaboratively
learn a shared model without data sharing. However, individual health system data are …

Clinical decision support systems (CDSS) in assistance to COVID‐19 diagnosis: A scoping review on types and evaluation methods

A Ameri, A Ameri, F Salmanizadeh… - Health Science …, 2024 - Wiley Online Library
Abstract Background and Aims Due to the COVID‐19 pandemic, a precise and reliable
diagnosis of this disease is critical. The use of clinical decision support systems (CDSS) can …

A web-scraped skin image database of monkeypox, chickenpox, smallpox, cowpox, and measles

T Islam, MA Hussain, FUH Chowdhury… - biorxiv, 2022 - biorxiv.org
Monkeypox has emerged as a fast-spreading disease around the world and an outbreak
has been reported in 75 countries so far. Although the clinical attributes of Monkeypox are …

[HTML][HTML] Classification of monkeypox images using LIME-enabled investigation of deep convolutional neural network

M Lakshmi, R Das - Diagnostics, 2023 - mdpi.com
In this research, we demonstrate a Deep Convolutional Neural Network-based classification
model for the detection of monkeypox. Monkeypox can be difficult to diagnose clinically in its …

Kidney diseases classification using hybrid transfer-learning densenet201-based and random forest classifier

AM Qadir, DF Abd - Kurdistan Journal of Applied Research, 2022 - spu.edu.iq
There are several disease kinds in global populations that may be related to human
lifestyles, social, genetic, economic, and other factors related to the nature of the country …

Unveiling COVID-19 secrets: Harnessing Cytokines as powerful biomarkers for diagnosis and predicting severity

B Wolszczak-Biedrzycka, J Dorf… - Journal of …, 2023 - Taylor & Francis
Introduction In coronavirus disease (COVID-19), inflammation takes center stage, with a
cascade of cytokines released, contributing to both inflammation and lung damage. The …

AI-assisted Analysis to Facilitate Detection of Humeral Lesions on Chest Radiographs

H Kim, K Kim, SJ Oh, S Lee, JH Woo, JH Kim… - Radiology: Artificial …, 2024 - pubs.rsna.org
Purpose To develop an artificial intelligence (AI) system for humeral tumor detection on
chest radiographs (CRs) and evaluate the impact on reader performance. Materials and …