AIMC Topic: Lung
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Association of AI quantified COVID-19 chest CT and patient outcome.
International journal of computer assisted radiology and surgery
Jan 23, 2021
PURPOSE: Severity scoring is a key step in managing patients with COVID-19 pneumonia. However, manual quantitative analysis by radiologists is a time-consuming task, while qualitative evaluation may be fast but highly subjective. This study aims to d...
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Sensors (Basel, Switzerland)
Jan 22, 2021
The field of Medicine and Healthcare has attained revolutionary advancements in the last forty years. Within this period, the actual reasons behind numerous diseases were unveiled, novel diagnostic methods were designed, and new medicines were develo...
Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs.
Academic radiology
Jan 18, 2021
RATIONALE AND OBJECTIVES: Radiographic findings of COVID-19 pneumonia can be used for patient risk stratification; however, radiologist reporting of disease severity is inconsistent on chest radiographs (CXRs). We aimed to see if an artificial intell...
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence.
Computers in biology and medicine
Jan 18, 2021
COVID-19 has infected 77.4 million people worldwide and has caused 1.7 million fatalities as of December 21, 2020. The primary cause of death due to COVID-19 is Acute Respiratory Distress Syndrome (ARDS). According to the World Health Organization (W...
REPLY: ROBOTIC-ASSISTED LUNG RESECTIONS: OBJECTIVE OBSERVATIONS 20 YEARS LATER.
The Journal of thoracic and cardiovascular surgery
Jan 17, 2021
CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network.
Scientific reports
Jan 14, 2021
The purpose of this study was to develop a fully-automated segmentation algorithm, robust to various density enhancing lung abnormalities, to facilitate rapid quantitative analysis of computed tomography images. A polymorphic training approach is pro...
Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study.
Scientific reports
Jan 13, 2021
To compare the performance of artificial intelligence (AI) and Radiographic Assessment of Lung Edema (RALE) scores from frontal chest radiographs (CXRs) for predicting patient outcomes and the need for mechanical ventilation in COVID-19 pneumonia. Ou...
Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification.
International journal of computer assisted radiology and surgery
Jan 11, 2021
PURPOSE: In recent years, convolutional neural network (CNN), an artificial intelligence technology with superior image recognition, has become increasingly popular and frequently used for classification tasks in medical imaging. However, the amount ...
A novel deep learning-based quantification of serial chest computed tomography in Coronavirus Disease 2019 (COVID-19).
Scientific reports
Jan 11, 2021
This study aims to explore and compare a novel deep learning-based quantification with the conventional semi-quantitative computed tomography (CT) scoring for the serial chest CT scans of COVID-19. 95 patients with confirmed COVID-19 and a total of 4...
Effect of CT reconstruction settings on the performance of a deep learning based lung nodule CAD system.
European journal of radiology
Jan 8, 2021
PURPOSE: To study the effect of different reconstruction parameter settings on the performance of a commercially available deep learning based pulmonary nodule CAD system.
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