AIMC Topic: Radiographic Image Interpretation, Computer-Assisted
Clear Filters Showing 1231 to 1240 of 1324 articles
[9. Computerized Diagnostic Aid for Mammography Using Deep Learning].
Nihon Hoshasen Gijutsu Gakkai zasshi
Jan 1, 2021
A feasibility study of realizing low-dose abdominal CT using deep learning image reconstruction algorithm.
Journal of X-ray science and technology
Jan 1, 2021
OBJECTIVES: To explore the feasibility of achieving diagnostic images in low-dose abdominal CT using a Deep Learning Image Reconstruction (DLIR) algorithm.
Does Artificial Intelligence Outperform Natural Intelligence in Interpreting Musculoskeletal Radiological Studies? A Systematic Review.
Clinical orthopaedics and related research
Dec 1, 2020
BACKGROUND: Machine learning (ML) is a subdomain of artificial intelligence that enables computers to abstract patterns from data without explicit programming. A myriad of impactful ML applications already exists in orthopaedics ranging from predicti...
Radiographic Image Interpretation, Computer-Assisted
Musculoskeletal Diseases
Pattern Recognition, Automated
Visual Perception
Ultrasonography
Magnetic Resonance Imaging
Diagnosis, Differential
Predictive Value of Tests
Musculoskeletal System
Orthopedic Surgeons
Humans
Machine Learning
Reproducibility of Results
Clinical Competence
Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.
Cardiovascular research
Dec 1, 2020
AIMS: Our aim was to evaluate the performance of machine learning (ML), integrating clinical parameters with coronary artery calcium (CAC), and automated epicardial adipose tissue (EAT) quantification, for the prediction of long-term risk of myocardi...
Decision Support Techniques
Prospective Studies
Prognosis
Female
Humans
Machine Learning
Computed Tomography Angiography
Pericardium
Coronary Angiography
Cause of Death
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Myocardial Infarction
Sex Factors
Multidetector Computed Tomography
Risk Assessment
Vascular Calcification
Risk Factors
Time Factors
Aged
Adipose Tissue
Male
Predictive Value of Tests
Middle Aged
Computed Tomography Image Reconstruction.
Radiologic technology
Nov 1, 2020
Filtered back projection was used in computed tomography (CT) but produced low-dose CT images that were noisy and included artifacts. Iterative reconstruction was introduced, which reduced noise and demonstrated dose reduction; however, reconstructio...
Detection of COVID-19 Using Deep Learning Algorithms on Chest Radiographs.
Journal of thoracic imaging
Nov 1, 2020
PURPOSE: To evaluate the performance of a deep learning (DL) algorithm for the detection of COVID-19 on chest radiographs (CXR).
A Novel Machine Learning-derived Radiomic Signature of the Whole Lung Differentiates Stable From Progressive COVID-19 Infection: A Retrospective Cohort Study.
Journal of thoracic imaging
Nov 1, 2020
OBJECTIVE: This study aimed to use the radiomics signatures of a machine learning-based tool to evaluate the prognosis of patients with coronavirus disease 2019 (COVID-19) infection.
Artificial intelligence in medical imaging: A radiomic guide to precision phenotyping of cardiovascular disease.
Cardiovascular research
Nov 1, 2020
Rapid technological advances in non-invasive imaging, coupled with the availability of large data sets and the expansion of computational models and power, have revolutionized the role of imaging in medicine. Non-invasive imaging is the pillar of mod...
Deep learning reconstruction of drip-infusion cholangiography acquired with ultra-high-resolution computed tomography.
Abdominal radiology (New York)
Sep 1, 2020
PURPOSE: Deep learning reconstruction (DLR) introduces deep convolutional neural networks into the reconstruction flow. We examined the clinical applicability of drip-infusion cholangiography (DIC) acquired on an ultra-high-resolution CT (U-HRCT) sca...
Augmenting Interpretation of Chest Radiographs With Deep Learning Probability Maps.
Journal of thoracic imaging
Sep 1, 2020
PURPOSE: Pneumonia is a common clinical diagnosis for which chest radiographs are often an important part of the diagnostic workup. Deep learning has the potential to expedite and improve the clinical interpretation of chest radiographs. While earlie...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32544
- Neural Networks, Computer 30502
- Algorithms 27746
- Deep Learning 27302
- Artificial Intelligence 25227
- Robotics 13430
- Image Processing, Computer-Assisted 9890
- Retrospective Studies 9537
- Magnetic Resonance Imaging 6484
- Reproducibility of Results 5746
- Tomography, X-Ray Computed 4963
- Support Vector Machine 4812
- Computational Biology 4397
- Brain 4188
- Computer Simulation 3963
Recent Journals
- Scientific reports 7013
- Sensors (Basel, Switzerland) 4794
- PloS one 4326
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2040
- Computational intelligence and neuroscience 1931
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
- IEEE journal of biomedical and health informatics 1197
- Journal of chemical information and modeling 1088
- Nature communications 1072
- Computer methods and programs in biomedicine 895
- Journal of medical Internet research 880
- Bioinformatics (Oxford, England) 880
- IEEE transactions on neural networks and learning systems 859