How does it differ from a regular x-ray? B Read x-rays are a more sophisticated interpretation of the chest x-ray that may identify exposure and illness caused by substances such as silica and asbestos. The strict guidelines in place for B Read x-rays provides protocols for methodically exa...
et al. Baseline chest X-ray in coronavirus disease 19 (COVID-19) patients: association with clinical and laboratory data. Radiol med 125, 1271–1279 (2020). https://doi.org/10.1007/s11547-020-01272-1 Download citation Received28 May 2020 Accepted23 August 2020 Published07 September 2020 ...
Dark-field chest X-ray imaging for the assessment of COVID-19-pneumonia Article Open access 21 November 2022 Introduction Subclinical tuberculosis (TB) is one of two recently described intermediate states, the other being incipient TB, that occur between TB infection and symptomatic pulmonary TB ...
1b, c). Fig. 1: System overview. Standardized, automated labeling method, based on similarity to a previously validated five-label chest X-ray (CXR) detection explainable AI (xAI) model, using an xAI model-derived-atlas based approach. a Our quantitative model-derived atlas-based explainable...
chest X-rayOBJECTIVE: To evaluate inter-reader agreement and diagnostic accuracy of chest radiography (CXR) in the diagnosis of tuberculosis (TB) in children with human immunodeficiency virus (HIV) infection.Berteloot, L.Marcy, O.Nguyen, B.Ung, V.Tejiokem, M.Nacro, B.Goyet, S.Dim, B....
Original Reader PCR: Polymerase Chain Reaction ResNet: Residual Network ROI: Region Of Interest References Alghamdi HS, Amoudi G, Elhag S, Saeedi K, Nasser J. Deep learning approaches for detecting COVID-19 from chest X-ray images: a survey. IEEE Access. 2021;9:20235–54. Article...
HIV infection is hypothesised to affect the presentation of tuberculosis on chest x-ray, which has been shown to impact human reader interpretation.19, 20 Similarly, our results showed all CAD products perform worse in people living with HIV in terms of AUC, but the difference was not ...
The release of multiple, large, publicly available chest X-ray datasets in recent years has encouraged research interest and boosted the number of publications. • We review all studies using deep learning on chest radiographs, categorizing works by task: image-level prediction (classification and ...
The analogy between the artificial intelligence (AI) model training with the proposed DISTL method and human reader training. a The learning process of AI model trained with the proposed DISTL method. b The learning process of a radiologist. CXR, chest X-ray. Full size image Practically, our ...
Artificial intelligence can assist in interpreting chest X-ray radiography (CXR) data, but large datasets require efficient image annotation. The purpose of this study is to extract CXR labels from diagnostic reports based on natural language processing, train convolutional neural networks (CNNs), and...