AIMC Topic: Lung Diseases
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Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT images.
Japanese journal of radiology
Jul 27, 2023
PURPOSE: Deep learning reconstruction (DLR) has been introduced by major vendors, tested for CT examinations of a variety of organs, and compared with other reconstruction methods. The purpose of this study was to compare the capabilities of DLR for ...
Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation.
The European respiratory journal
May 18, 2023
BACKGROUND: Few studies have investigated the collaborative potential between artificial intelligence (AI) and pulmonologists for diagnosing pulmonary disease. We hypothesised that the collaboration between a pulmonologist and AI with explanations (e...
Deep learning to estimate lung disease mortality from chest radiographs.
Nature communications
May 16, 2023
Prevention and management of chronic lung diseases (asthma, lung cancer, etc.) are of great importance. While tests are available for reliable diagnosis, accurate identification of those who will develop severe morbidity/mortality is currently limite...
Quantitative Texture Analysis of Interstitial Lung Abnormalities Opens a New Chapter for Chest CT Interpretation.
Radiology
Apr 25, 2023
Utilization of Deep Convolutional Neural Networks for Accurate Chest X-Ray Diagnosis and Disease Detection.
Interdisciplinary sciences, computational life sciences
Mar 26, 2023
Chest radiography is a widely used diagnostic imaging procedure in medical practice, which involves prompt reporting of future imaging tests and diagnosis of diseases in the images. In this study, a critical phase in the radiology workflow is automat...
AI co-pilot: content-based image retrieval for the reading of rare diseases in chest CT.
Scientific reports
Mar 16, 2023
The aim of the study was to evaluate the impact of the newly developed Similar patient search (SPS) Web Service, which supports reading complex lung diseases in computed tomography (CT), on the diagnostic accuracy of residents. SPS is an image-based ...
Multicentre external validation of a commercial artificial intelligence software to analyse chest radiographs in health screening environments with low disease prevalence.
European radiology
Jan 10, 2023
OBJECTIVES: To externally validate the performance of a commercial AI software program for interpreting CXRs in a large, consecutive, real-world cohort from primary healthcare centres.
Coronavirus covid-19 detection by means of explainable deep learning.
Scientific reports
Jan 10, 2023
The coronavirus is caused by the infection of the SARS-CoV-2 virus: it represents a complex and new condition, considering that until the end of December 2019 this virus was totally unknown to the international scientific community. The clinical mana...
Lung Sound Recognition Method Based on Wavelet Feature Enhancement and Time-Frequency Synchronous Modeling.
IEEE journal of biomedical and health informatics
Jan 4, 2023
Lung diseases are serious threats to human health and life, therefore, an accurate diagnosis of lung diseases is significant. The use of artificial intelligence to analyze lung sounds can aid in diagnosing lung diseases. Most of the existing lung sou...
Cytologic scoring of equine exercise-induced pulmonary hemorrhage: Performance of human experts and a deep learning-based algorithm.
Veterinary pathology
Nov 17, 2022
Exercise-induced pulmonary hemorrhage (EIPH) is a relevant respiratory disease in sport horses, which can be diagnosed by examination of bronchoalveolar lavage fluid (BALF) cells using the total hemosiderin score (THS). The aim of this study was to e...
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