AIMC Topic: Radiography, Thoracic

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Artificial intelligence in the healthcare sector: comparison of deep learning networks using chest X-ray images.

Frontiers in public health Apr 10, 2024
PURPOSE: Artificial intelligence has led to significant developments in the healthcare sector, as in other sectors and fields. In light of its significance, the present study delves into exploring deep learning, a branch of artificial intelligence.
Deep Learning Artificial Intelligence Radiography, Thoracic COVID-19 SARS-CoV-2 Health Care Sector Humans Neural Networks, Computer
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Semantically redundant training data removal and deep model classification performance: A study with chest X-rays.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 9, 2024
Deep learning (DL) has demonstrated its innate capacity to independently learn hierarchical features from complex and multi-dimensional data. A common understanding is that its performance scales up with the amount of training data. However, the data...
Deep Learning Semantics Radiography, Thoracic Humans
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CovMediScanX: A medical imaging solution for COVID-19 diagnosis from chest X-ray images.

Journal of medical imaging and radiation sciences Apr 8, 2024
INTRODUCTION: Radiologists have extensively employed the interpretation of chest X-rays (CXR) to identify visual markers indicative of COVID-19 infection, offering an alternative approach for the screening of infected individuals. This research artic...
SARS-CoV-2 Deep Learning Radiography, Thoracic Neural Networks, Computer COVID-19 Humans
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Automatic ARDS surveillance with chest X-ray recognition using convolutional neural networks.

Journal of critical care Mar 28, 2024
OBJECTIVE: This study aims to design, validate and assess the accuracy a deep learning model capable of differentiation Chest X-Rays between pneumonia, acute respiratory distress syndrome (ARDS) and normal lungs.
Respiratory Distress Syndrome Pneumonia Radiography, Thoracic Male Middle Aged Deep Learning Adult Sensitivity and Specificity Neural Networks, Computer Humans Intensive Care Units Female
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Hierarchical medical image report adversarial generation with hybrid discriminator.

Artificial intelligence in medicine Mar 21, 2024
BACKGROUND AND OBJECTIVES: Generating coherent reports from medical images is an important task for reducing doctors' workload. Unlike traditional image captioning tasks, the task of medical image report generation faces more challenges. Current mode...
Humans Neural Networks, Computer Thorax Diagnostic Imaging Deep Learning Datasets as Topic Image Processing, Computer-Assisted Radiography, Thoracic
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Deep Learning Model for Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Chest Radiographs.

Journal of imaging informatics in medicine Mar 18, 2024
Bronchopulmonary dysplasia (BPD) is common in preterm infants and may result in pulmonary vascular disease, compromising lung function. This study aimed to employ artificial intelligence (AI) techniques to help physicians accurately diagnose BPD in p...
Radiography, Thoracic Lung Deep Learning Infant, Premature Male Bronchopulmonary Dysplasia Humans Female Infant, Newborn Retrospective Studies
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ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax.

Journal of imaging informatics in medicine Mar 14, 2024
Radiology narrative reports often describe characteristics of a patient's disease, including its location, size, and shape. Motivated by the recent success of multimodal learning, we hypothesized that this descriptive text could guide medical image a...
Radiography, Thoracic Pneumothorax Humans Algorithms Natural Language Processing Neural Networks, Computer
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Artificial intelligence-assisted double reading of chest radiographs to detect clinically relevant missed findings: a two-centre evaluation.

European radiology Mar 11, 2024
OBJECTIVES: To evaluate an artificial intelligence (AI)-assisted double reading system for detecting clinically relevant missed findings on routinely reported chest radiographs.
Humans Artificial Intelligence Algorithms Aged Diagnostic Errors Male Retrospective Studies Female Natural Language Processing Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Middle Aged Deep Learning
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Evaluation of Effectiveness of Self-Supervised Learning in Chest X-Ray Imaging to Reduce Annotated Images.

Journal of imaging informatics in medicine Mar 8, 2024
A significant challenge in machine learning-based medical image analysis is the scarcity of medical images. Obtaining a large number of labeled medical images is difficult because annotating medical images is a time-consuming process that requires sp...
Radiography, Thoracic Humans COVID-19 Radiographic Image Interpretation, Computer-Assisted SARS-CoV-2 Supervised Machine Learning
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Improving Computer-Aided Thoracic Disease Diagnosis through Comparative Analysis Using Chest X-ray Images Taken at Different Times.

Sensors (Basel, Switzerland) Feb 24, 2024
Medical professionals in thoracic medicine routinely analyze chest X-ray images, often comparing pairs of images taken at different times to detect lesions or anomalies in patients. This research aims to design a computer-aided diagnosis system that ...
Humans Deep Learning Thoracic Diseases Algorithms Radiography, Thoracic Neural Networks, Computer Computers X-Rays
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