AI Medical Compendium Journal:
Ultraschall in der Medizin (Stuttgart, Germany : 1980)

Showing 1 to 7 of 7 articles

Artificial intelligence in Ultrasound: Pearls and pitfalls in 2024.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Sep 6, 2024
Forecasting Ultrasonography Image Interpretation, Computer-Assisted Humans Artificial Intelligence
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Artificial intelligence for ultrasound microflow imaging in breast cancer diagnosis.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Apr 9, 2024
PURPOSE: To develop and evaluate artificial intelligence (AI) algorithms for ultrasound (US) microflow imaging (MFI) in breast cancer diagnosis.
Humans Neural Networks, Computer Ultrasonography, Mammary Breast Middle Aged ROC Curve Aged Retrospective Studies Sensitivity and Specificity Artificial Intelligence Adult Breast Neoplasms Algorithms Female
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Real-time carotid plaque recognition from dynamic ultrasound videos based on artificial neural network.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Dec 19, 2023
PURPOSE: Carotid ultrasound allows noninvasive assessment of vascular anatomy and function with real-time display. Based on the transfer learning method, a series of research results have been obtained on the optimal image recognition and analysis of...
Middle Aged Computer Systems Ultrasonography Video Recording Adult Male Algorithms Female Humans Neural Networks, Computer Plaque, Atherosclerotic Image Interpretation, Computer-Assisted Carotid Stenosis Carotid Arteries
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Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Dec 5, 2023
PURPOSE: To investigate the feasibility of deep learning radiomics (DLR) based on multimodal ultrasound to differentiate the primary cancer sites of metastatic cervical lymphadenopathy (CLA).
Contrast Media Multimodal Imaging Neck Lymphatic Metastasis Elasticity Imaging Techniques Diagnosis, Differential Feasibility Studies Ultrasonography Lung Neoplasms Lymphadenopathy Head and Neck Neoplasms Deep Learning Thyroid Neoplasms Male Middle Aged Humans Female Adult Radiomics Aged
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Accuracy of Trained Physicians is Inferior to Deep Learning-Based Algorithm for Determining Angles in Ultrasound of the Newborn Hip.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Aug 6, 2020
PURPOSE:  Sonographic diagnosis of developmental dysplasia of the hip allows treatment with a flexion-abduction orthosis preventing hip luxation. Accurate determination of alpha and beta angles according to Graf is crucial for correct diagnosis. It i...
Automation Hip Dislocation, Congenital Physicians Infant, Newborn Deep Learning Ultrasonography Humans
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Artificial Intelligence: What Is It and How Can It Expand the Ultrasound Potential in the Future?

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Aug 4, 2020
Humans Forecasting Artificial Intelligence Ultrasonography
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Machine learning and deep learning applied in ultrasound.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Aug 2, 2018
Ultrasonography Machine Learning Deep Learning
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