AIMC Topic: Radiographic Image Interpretation, Computer-Assisted
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Artificial Neural Network-Based Deep Learning Model for COVID-19 Patient Detection Using X-Ray Chest Images.
Journal of healthcare engineering
Jun 5, 2021
The world is experiencing an unprecedented crisis due to the coronavirus disease (COVID-19) outbreak that has affected nearly 216 countries and territories across the globe. Since the pandemic outbreak, there is a growing interest in computational mo...
AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset.
European radiology
Jun 4, 2021
OBJECTIVE: Assess if deep learning-based artificial intelligence (AI) algorithm improves reader performance for lung cancer detection on chest X-rays (CXRs).
Image texture, low contrast liver lesion detectability and impact on dose: Deep learning algorithm compared to partial model-based iterative reconstruction.
European journal of radiology
Jun 3, 2021
OBJECTIVES: To compare deep learning (True Fidelity, TF) and partial model based Iterative Reconstruction (ASiR-V) algorithm for image texture, low contrast lesion detectability and potential dose reduction.
COVID-19 Diagnosis Using an Enhanced Inception-ResNetV2 Deep Learning Model in CXR Images.
Journal of healthcare engineering
Jun 3, 2021
The COVID-19 pandemic has a significant negative effect on people's health, as well as on the world's economy. Polymerase chain reaction (PCR) is one of the main tests used to detect COVID-19 infection. However, it is expensive, time-consuming, and l...
Enhanced Diagnosis of Pneumothorax with an Improved Real-Time Augmentation for Imbalanced Chest X-rays Data Based on DCNN.
IEEE/ACM transactions on computational biology and bioinformatics
Jun 3, 2021
Pneumothorax is a common pulmonary disease that can lead to dyspnea and can be life-threatening. X-ray examination is the main means to diagnose this disease. Computer-aided diagnosis of pneumothorax on chest X-ray, as a prerequisite for a timely cur...
Performance and reading time of lung nodule identification on multidetector CT with or without an artificial intelligence-powered computer-aided detection system.
Clinical radiology
May 19, 2021
AIM: To compare the performance and reading time of different readers using automatic artificial intelligence (AI)-powered computer-aided detection (CAD) to detect lung nodules in different reading modes.
A generative adversarial network-based abnormality detection using only normal images for model training with application to digital breast tomosynthesis.
Scientific reports
May 13, 2021
Deep learning has shown tremendous potential in the task of object detection in images. However, a common challenge with this task is when only a limited number of images containing the object of interest are available. This is a particular issue in ...
Deep learning image reconstruction for pancreatic low-dose computed tomography: comparison with hybrid iterative reconstruction.
Abdominal radiology (New York)
May 11, 2021
PURPOSE: To evaluate image quality, image noise, and conspicuity of pancreatic ductal adenocarcinoma (PDAC) in pancreatic low-dose computed tomography (LDCT) reconstructed using deep learning image reconstruction (DLIR) and compare with those of imag...
Augmenting lung cancer diagnosis on chest radiographs: positioning artificial intelligence to improve radiologist performance.
Clinical radiology
May 11, 2021
AIM: To evaluate the role that artificial intelligence (AI) could play in assisting radiologists as the first reader of chest radiographs (CXRs), to increase the accuracy and efficiency of lung cancer diagnosis by flagging positive cases before passi...
Assistance from Automated ASPECTS Software Improves Reader Performance.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
May 11, 2021
PURPOSE: To compare physicians' ability to read Alberta Stroke Program Early CT Score (ASPECTS) in patients with a large vessel occlusion within 6 hours of symptom onset when assisted by a machine learning-based automatic software tool, compared with...
Radiographic Image Interpretation, Computer-Assisted
Observer Variation
Automation
Middle Cerebral Artery
Carotid Artery, Internal
Neurologists
Magnetic Resonance Imaging
Predictive Value of Tests
Ischemic Stroke
Radiologists
Male
Middle Aged
Clinical Competence
Humans
Machine Learning
Software
Prognosis
Tomography, X-Ray Computed
Female
Reproducibility of Results
Aged
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