[HTML][HTML] Applications of artificial intelligence in the thorax: a narrative review focusing on thoracic radiology

Y Kim, JY Park, EJ Hwang, SM Lee… - Journal of Thoracic …, 2021 - ncbi.nlm.nih.gov
Objective This review will focus on how AI—and, specifically, deep learning—can be applied
to complement aspects of the current healthcare system. We describe how AI-based tools …

Application of machine learning and deep learning techniques for Covid-19 screening using radiological imaging: a comprehensive review

A Lasker, SM Obaidullah, C Chakraborty, K Roy - SN computer science, 2022 - Springer
Lung, being one of the most important organs in human body, is often affected by various
SARS diseases, among which COVID-19 has been found to be the most fatal disease in …

[HTML][HTML] Use of artificial intelligence-based software as medical devices for chest radiography: a position paper from the Korean Society of Thoracic Radiology

EJ Hwang, JM Goo, SH Yoon, KS Beck… - Korean Journal of …, 2021 - ncbi.nlm.nih.gov
Chest radiography (CR) is the primary examination for the evaluation and follow-up of
various thoracic diseases. The number of examinations is steadily on the increase, as is …

Artificial intelligence-based detection of pneumonia in chest radiographs

J Becker, JA Decker, C Römmele, M Kahn… - Diagnostics, 2022 - mdpi.com
Artificial intelligence is gaining increasing relevance in the field of radiology. This study
retrospectively evaluates how a commercially available deep learning algorithm can detect …

E-GCS: Detection of COVID-19 through classification by attention bottleneck residual network

T Ahila, AC Subhajini - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Background: Recently, the coronavirus disease 2019 (COVID-19) has caused mortality of
many people globally. Thus, there existed a need to detect this disease to prevent its further …

[PDF][PDF] Chest diseases prediction from X-ray images using CNN models: a study

L Mangeri, GP OS, N Puppala… - International Journal of …, 2021 - academia.edu
Chest Disease creates serious health issues for human beings all over the world. Identifying
these diseases in earlier stages helps people to treat them early and save their life …

SS-CXR: Self-Supervised Pretraining Using Chest X-Rays Towards A Domain Specific Foundation Model

SM Anwar, A Parida, S Atito, M Awais… - … on Image Processing …, 2024 - ieeexplore.ieee.org
Chest X-rays (CXRs) are widely used imaging modality for the diagnosis and prognosis of
lung disease. There is a large body of work where machine learning algorithms are …

Pneumonia detection in chest X-ray images: Handling class imbalance

W Ali, E Qureshi, OA Farooqi, RA Khan - arXiv preprint arXiv:2301.08479, 2023 - arxiv.org
People all over the globe are affected by pneumonia but deaths due to it are highest in Sub-
Saharan Asia and South Asia. In recent years, the overall incidence and mortality rate of …

Deep learning-based computer-aided detection system for preoperative chest radiographs to predict postoperative pneumonia

T Lee, EJ Hwang, CM Park, JM Goo - Academic Radiology, 2023 - Elsevier
Rationale and objectives The role of preoperative chest radiography (CR) for prediction of
postoperative pneumonia remains uncertain. We aimed to develop and validate a prediction …

Development and validation of a multimodal-based prognosis and intervention prediction model for COVID-19 patients in a multicenter cohort

JH Lee, JS Ahn, MJ Chung, YJ Jeong, JH Kim, JK Lim… - Sensors, 2022 - mdpi.com
The ability to accurately predict the prognosis and intervention requirements for treating
highly infectious diseases, such as COVID-19, can greatly support the effective management …