AIMC Topic:
Ultrasonography

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Artificial Intelligence in COVID-19 Imaging Mismatched to the Clinic.

JAMA Jul 13, 2021
Lung Ultrasonography Radiography Artificial Intelligence COVID-19 Humans
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Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence.

Proceedings of the National Academy of Sciences of the United States of America Jul 6, 2021
Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound's proven value, expensive systems that require domain expertise in image a...
Acoustics Organ Specificity Micro-Electrical-Mechanical Systems Artificial Intelligence Ultrasonography Imaging, Three-Dimensional
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Using machine learning to automate ultrasound-based classification of butt-fused joints in medium-density polyethylene gas pipes.

The Journal of the Acoustical Society of America Jul 1, 2021
Polyethylene (PE) pipes are widely used in gas distribution. Their joints are prone to various flaws and are the most problematic part of the pipeline, so the infrastructure industry requires an effective inspection technique. Butt-fusion (BF) is the...
Machine Learning Ultrasonography Transducers Polyethylene Neural Networks, Computer
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Deep Learning in Kidney Ultrasound: Overview, Frontiers, and Challenges.

Advances in chronic kidney disease May 1, 2021
Ultrasonography is a practical imaging technique used in numerous health care settings. It is relatively inexpensive, portable, and safe, and it has dynamic capabilities that make it an invaluable tool for a wide variety of diagnostic and interventio...
Machine Learning Algorithms Deep Learning Humans Artificial Intelligence Ultrasonography Kidney
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Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study.

The Journal of the Acoustical Society of America May 1, 2021
In the current pandemic, lung ultrasound (LUS) played a useful role in evaluating patients affected by COVID-19. However, LUS remains limited to the visual inspection of ultrasound data, thus negatively affecting the reliability and reproducibility o...
Humans COVID-19 Reproducibility of Results Deep Learning Ultrasonography SARS-CoV-2 Lung
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A Deep Learning Model for Screening Multiple Abnormal Findings in Ophthalmic Ultrasonography (With Video).

Translational vision science & technology Apr 1, 2021
PURPOSE: The purpose of this study was to construct a deep learning system for rapidly and accurately screening retinal detachment (RD), vitreous detachment (VD), and vitreous hemorrhage (VH) in ophthalmic ultrasound in real time.
Neural Networks, Computer Humans Retinal Detachment Ultrasonography Deep Learning Vitreous Detachment
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Endoscopy-assisted magnetic navigation of biohybrid soft microrobots with rapid endoluminal delivery and imaging.

Science robotics Mar 17, 2021
High-precision delivery of microrobots at the whole-body scale is of considerable importance for efforts toward targeted therapeutic intervention. However, vision-based control of microrobots, to deep and narrow spaces inside the body, remains a chal...
Spheroids, Cellular Female Endoscopy Natural Orifice Endoscopic Surgery Diagnostic Imaging Magnetics Animals Mice Equipment Design Sus scrofa Computer Systems Male Rats Humans Robotics Ultrasonography Rats, Sprague-Dawley Drug Delivery Systems Microtechnology 3T3 Cells Microscopy, Electron, Scanning
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Artificial Intelligence-enabled, Real-time Intraoperative Ultrasound Imaging of Neural Structures Within the Psoas: Validation in a Porcine Spine Model.

Spine Feb 1, 2021
STUDY DESIGN: Experimental in-vivo animal study.
Lumbar Vertebrae Reproducibility of Results Machine Learning Image Processing, Computer-Assisted Algorithms Psoas Muscles Humans Spinal Fusion Models, Animal Female Swine Intraoperative Neurophysiological Monitoring Ultrasonography Animals Artificial Intelligence
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Does artificial intelligence for classifying ultrasound imaging generalize between different populations and contexts?

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Feb 1, 2021
Ultrasonography Humans Artificial Intelligence
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Deep learning for differentiation of benign and malignant solid liver lesions on ultrasonography.

Abdominal radiology (New York) Feb 1, 2021
PURPOSE: The ability to reliably distinguish benign from malignant solid liver lesions on ultrasonography can increase access, decrease costs, and help to better triage patients for biopsy. In this study, we used deep learning to differentiate benign...
Ultrasonography Liver Neoplasms Algorithms Humans Deep Learning Neural Networks, Computer
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