AIMC Topic: Lung Diseases

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Diagnosis of common pulmonary diseases in children by X-ray images and deep learning.

Scientific reports Oct 15, 2020
Acute lower respiratory infection is the leading cause of child death in developing countries. Current strategies to reduce this problem include early detection and appropriate treatment. Better diagnostic and therapeutic strategies are still needed ...
Humans Child Diagnosis, Differential Lung Diseases Radiography, Thoracic Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning
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Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes.

Medical image analysis Oct 9, 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 ...
Radiography Lung Diseases Neural Networks, Computer Machine Learning Tomography, X-Ray Computed Humans
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Lower Incidence of Postoperative Pulmonary Complications Following Robot-Assisted Minimally Invasive Esophagectomy for Esophageal Cancer: Propensity Score-Matched Comparison to Conventional Minimally Invasive Esophagectomy.

Annals of surgical oncology Sep 5, 2020
BACKGROUND: Whether robot-assisted minimally invasive surgery (RAMIE) is more beneficial than conventional minimally invasive surgery (MIE) remains unclear.
Robotics Robotic Surgical Procedures Lung Diseases Propensity Score Esophagectomy Esophageal Neoplasms Postoperative Complications Incidence Treatment Outcome Humans Retrospective Studies
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Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem.

European radiology experimental Aug 20, 2020
BACKGROUND: Automated segmentation of anatomical structures is a crucial step in image analysis. For lung segmentation in computed tomography, a variety of approaches exists, involving sophisticated pipelines trained and validated on different datase...
Reproducibility of Results Deep Learning Radiographic Image Interpretation, Computer-Assisted Lung Diseases Datasets as Topic Humans Tomography, X-Ray Computed
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Artificial Intelligence Solutions for Analysis of X-ray Images.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Aug 6, 2020
Artificial intelligence (AI) presents a key opportunity for radiologists to improve quality of care and enhance the value of radiology in patient care and population health. The potential opportunity of AI to aid in triage and interpretation of conve...
Lung Diseases Musculoskeletal Diseases Radiography, Thoracic Artificial Intelligence Radiography Radiographic Image Interpretation, Computer-Assisted Musculoskeletal System Humans
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Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides.

Scientific reports Aug 3, 2020
Exercise-induced pulmonary hemorrhage (EIPH) is a common condition in sport horses with negative impact on performance. Cytology of bronchoalveolar lavage fluid by use of a scoring system is considered the most sensitive diagnostic method. Macrophage...
Single-Cell Analysis Lung Diseases Cytological Techniques Hemorrhage Animals Deep Learning Horses
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Feasibility of a 5G-Based Robot-Assisted Remote Ultrasound System for Cardiopulmonary Assessment of Patients With Coronavirus Disease 2019.

Chest Jul 9, 2020
BACKGROUND: Traditional methods for cardiopulmonary assessment of patients with coronavirus disease 2019 (COVID-19) pose risks to both patients and examiners. This necessitates a remote examination of such patients without sacrificing information qua...
Heart Diseases Robotics Feasibility Studies Lung Diseases Female Aged Aged, 80 and over Humans Middle Aged Adult COVID-19 Ultrasonography Male Retrospective Studies
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Emphysema quantification using low-dose computed tomography with deep learning-based kernel conversion comparison.

European radiology Jun 29, 2020
OBJECTIVE: This study determined the effect of dose reduction and kernel selection on quantifying emphysema using low-dose computed tomography (LDCT) and evaluated the efficiency of a deep learning-based kernel conversion technique in normalizing ker...
Middle Aged Lung Humans Diagnosis, Computer-Assisted Retrospective Studies Pulmonary Emphysema Aged Biometry Deep Learning Tomography, X-Ray Computed Cross-Sectional Studies Radiation Dosage Treatment Outcome Female Male Lung Diseases
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Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.

Computer methods and programs in biomedicine Jun 20, 2020
BACKGROUND AND OBJECTIVE: Coronavirus disease (COVID-19) is an infectious disease caused by a new virus never identified before in humans. This virus causes respiratory disease (for instance, flu) with symptoms such as cough, fever and, in severe cas...
Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Lung Diseases Coronavirus Infections Radiography, Thoracic Algorithms Reproducibility of Results SARS-CoV-2 Neural Networks, Computer Pandemics COVID-19 X-Rays Humans Betacoronavirus Pneumonia, Viral
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Automated Lung Ultrasound B-Line Assessment Using a Deep Learning Algorithm.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jun 15, 2020
Shortness of breath is a major reason that patients present to the emergency department (ED) and point-of-care ultrasound (POCUS) has been shown to aid in diagnosis, particularly through evaluation for artifacts known as B-lines. B-line identificatio...
Video Recording Deep Learning Humans Image Interpretation, Computer-Assisted Ultrasonography Algorithms Lung Diseases Lung
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