Results 51 to 60 of about 289,506 (289)
Malignant pleural mesothelioma with resolution of pleural effusion
Respirology Case Reports, 2023 Key message In malignant pleural mesothelioma patients, pleural effusion may improve during the course of the disease. Pleural effusion with nodular shadows bordering the pleura should be followed up even if the pleural effusion improves.
Sayaka Nishida +3 more
doaj +1 more source
Pleural cryptococcosis diagnosed by pleural biopsy in an immunocompromised patient: a case report
Frontiers in Cellular and Infection Microbiology, 2023 ObjectiveThe aim of this study is to report an isolated pleural cryptococcosis with pleural effusion as the only manifestation, confirmed by pleural biopsy in a patient with thymoma combined with myasthenia gravis, who developed pleural effusion of ...
Hongxia Jia +5 more
doaj +1 more source
Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children Patients [PDF]
arXiv, 2021 Artificial intelligence methods have been increasingly turning into a potentially powerful tool in the diagnosis and management of diseases. In this study, we utilized logistic regression (LR), decision tree (DT), gradient boosted decision tree (GBDT), support vector machine (SVM), and multilayer perceptron (MLP) as machine learning models to rapidly ...
arxiv
Critical Care, 2017 Pleural effusion (PLEFF), mostly caused by volume overload, congestive heart failure, and pleuropulmonary infection, is a common condition in critical care patients.
E. Brogi +6 more
semanticscholar +1 more source
Clinical and Translational Science, 2022 The exact role of pleural effusion in the prognosis of cancer patients remains unclear. We aimed to systematically review the prognostic value of pleural effusion in patients with cancer.
Yuan Yang +5 more
doaj +1 more source
Diffusion Models for Medical Anomaly Detection [PDF]
arXiv, 2022 In medical applications, weakly supervised anomaly detection methods are of great interest, as only image-level annotations are required for training. Current anomaly detection methods mainly rely on generative adversarial networks or autoencoder models.
arxiv
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes [PDF]
, 2020 Machine learning models for radiology benefit from large-scale data sets with high quality labels for abnormalities. We curated and analyzed a chest computed tomography (CT) data set of 36,316 volumes from 19,993 unique patients. This is the largest multiply-annotated volumetric medical imaging data set reported. To annotate this data set, we developed
arxiv +1 more source
Malignant pleural effusion: from bench to bedside
European Respiratory Review, 2016 Malignant pleural effusion (MPE) is a common but serious condition that is related with poor quality of life, morbidity and mortality. Its incidence and associated healthcare costs are rising and its management remains palliative, with median survival ...
I. Psallidas +4 more
semanticscholar +1 more source
RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning [PDF]
arXiv, 2023 Automating radiology report generation can significantly alleviate radiologists' workloads. Previous research has primarily focused on realizing highly concise observations while neglecting the precise attributes that determine the severity of diseases (e.g., small pleural effusion).
arxiv
Management of malignant pleural effusion: challenges and solutions
Cancer Management and Research, 2017 Malignant pleural effusion (MPE) is a sign of advanced cancer and is associated with significant symptom burden and mortality. To date, management has been palliative in nature with a focus on draining the pleural space, with therapies aimed at ...
E. Penz +4 more
semanticscholar +1 more source