AIMC Topic: Image Interpretation, Computer-Assisted

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[Establishment and clinical testing of pancreatic cancer Faster R-CNN AI system based on fast regional convolutional neural network].

Zhonghua wai ke za zhi [Chinese journal of surgery] Jul 1, 2020
To investigate the effectiveness of an enhanced CT automatic recognition system based on Faster R-CNN for pancreatic cancer and its clinical value. In this study, 4 024 enhanced CT imaging sequences of 315 patients with pancreatic cancer from Janua...
Tomography, X-Ray Computed Sensitivity and Specificity ROC Curve Pancreatic Neoplasms Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Retrospective Studies
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AI in Medical Imaging Informatics: Current Challenges and Future Directions.

IEEE journal of biomedical and health informatics Jul 1, 2020
This paper reviews state-of-the-art research solutions across the spectrum of medical imaging informatics, discusses clinical translation, and provides future directions for advancing clinical practice. More specifically, it summarizes advances in me...
Diagnostic Imaging Image Interpretation, Computer-Assisted Medical Informatics Precision Medicine Big Data Image Processing, Computer-Assisted Humans Artificial Intelligence
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Deploying artificial intelligence to find the needle in the haystack: deep learning for video capsule endoscopy.

Gastrointestinal endoscopy Jul 1, 2020
Deep Learning Image Interpretation, Computer-Assisted Capsule Endoscopy Humans Neural Networks, Computer Artificial Intelligence
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Assessment of a Deep Learning Algorithm for the Detection of Rib Fractures on Whole-Body Trauma Computed Tomography.

Korean journal of radiology Jul 1, 2020
OBJECTIVE: To assess the diagnostic performance of a deep learning-based algorithm for automated detection of acute and chronic rib fractures on whole-body trauma CT.
Humans Male Female Middle Aged Whole Body Imaging Aged Rib Fractures Image Interpretation, Computer-Assisted Deep Learning Adult Retrospective Studies Wounds and Injuries Tomography, X-Ray Computed
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Artificial Intelligence Algorithm Detecting Lung Infection in Supine Chest Radiographs of Critically Ill Patients With a Diagnostic Accuracy Similar to Board-Certified Radiologists.

Critical care medicine Jul 1, 2020
OBJECTIVES: Interpretation of lung opacities in ICU supine chest radiographs remains challenging. We evaluated a prototype artificial intelligence algorithm to classify basal lung opacities according to underlying pathologies.
Humans Tomography, X-Ray Computed Critical Illness Female Reproducibility of Results Male Lung Diseases Artificial Intelligence Middle Aged Image Interpretation, Computer-Assisted Algorithms Radiologists Radiography, Thoracic Retrospective Studies Supine Position
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Artificial Intelligence: Promise, Pitfalls, and Perspective.

JAMA Jun 23, 2020
Comprehension Betacoronavirus Pneumonia, Viral Artificial Intelligence Randomized Controlled Trials as Topic COVID-19 Electronic Health Records Natural Language Processing Pandemics Deep Learning Automobile Driving Forecasting SARS-CoV-2 Radiology Automobiles Delivery of Health Care Coronavirus Infections Image Interpretation, Computer-Assisted Data Collection
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Classification of Histologic Images Using a Single Staining: Experiments with Deep Learning on Deconvolved Images.

Studies in health technology and informatics Jun 16, 2020
The automated analysis of digitized immunohistochemistry microscope slides is usually a challenging task, because markers should be analysed on the tumor area only. Tumor areas could be recognized on a different slide, stained with Haematoxylin-Eosin...
Deep Learning Humans Image Interpretation, Computer-Assisted Staining and Labeling Prospective Studies Neoplasms
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Thyroid Nodule Malignancy Risk Stratification Using a Convolutional Neural Network.

Ultrasound quarterly Jun 1, 2020
This study evaluates the performance of convolutional neural networks (CNNs) in risk stratifying the malignant potential of thyroid nodules alongside traditional methods such as American College of Radiology Thyroid Imaging Reporting and Data System ...
Risk Assessment Thyroid Gland Thyroid Nodule Image Interpretation, Computer-Assisted Biopsy, Fine-Needle Sensitivity and Specificity Humans Male Neural Networks, Computer Middle Aged Retrospective Studies Female
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Automated interpretation of the coronary angioscopy with deep convolutional neural networks.

Open heart May 1, 2020
BACKGROUND: Coronary angioscopy (CAS) is a useful modality to assess atherosclerotic changes, but interpretation of the images requires expert knowledge. Deep convolutional neural networks (DCNN) can be used for diagnostic prediction and image synthe...
Image Interpretation, Computer-Assisted Deep Learning Humans Coronary Vessels Predictive Value of Tests Prognosis Angioscopy Coronary Artery Disease Reproducibility of Results
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Deep Learning Localization of Pneumonia: 2019 Coronavirus (COVID-19) Outbreak.

Journal of thoracic imaging May 1, 2020
Radiography, Thoracic COVID-19 Betacoronavirus SARS-CoV-2 Deep Learning Humans Pneumonia, Viral Coronavirus Infections Pandemics Image Interpretation, Computer-Assisted
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