[HTML][HTML] Applications of artificial intelligence in the thorax: a narrative review focusing on thoracic radiology
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
highly infectious diseases, such as COVID-19, can greatly support the effective management …