AIMC Topic:
Ultrasonography

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Super-resolution based Nodule Localization in Thyroid Ultrasound Images through Deep Learning.

Current medical imaging Jan 1, 2024
BACKGROUND: Currently, it is difficult to find a solution to the inverse inappropriate problem, which involves restoring a high-resolution image from a lowresolution image contained within a single image. In nature photography, one can capture a wide...
Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Ultrasonography Deep Learning Humans Thyroid Gland Thyroid Nodule
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Overview of artificial intelligence in point-of-care ultrasound. New horizons for respiratory system diagnoses.

Anaesthesiology intensive therapy Jan 1, 2024
Throughout the past decades ultrasonography did not prove to be a procedure of choice if regarded as part of the routine bedside examination. The reason was the assumption defining the lungs and the bone structures as impenetrable by ultrasound. Only...
Artificial Intelligence Point-of-Care Systems Artifacts Respiratory System Ultrasonography Humans Respiratory Tract Diseases
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Automatic Optic Nerve Assessment From Transorbital Ultrasound Images: A Deep Learning-based Approach.

Current medical imaging Jan 1, 2024
BACKGROUND: Transorbital Ultrasonography (TOS) is a promising imaging technology that can be used to characterize the structures of the optic nerve and the potential alterations that may occur in those structures as a result of an increase in intracr...
Optic Nerve Image Processing, Computer-Assisted Neural Networks, Computer Deep Learning Ultrasonography Humans
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A Video-based Automated Tracking and Analysis System of Plaque Burden in Carotid Artery Using Deep Learning: A Comparison with Senior Sonographers.

Current medical imaging Jan 1, 2024
BACKGROUND AND OBJECTIVE: The incidence of stroke is rising, and it is the second major cause of mortality and the third leading cause of disability around the globe. The goal of this study was to rapidly and accurately identify carotid plaques and a...
Plaque, Atherosclerotic Carotid Artery Diseases Ultrasonography Video Recording Carotid Arteries Humans Middle Aged Deep Learning Aged Male Female
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A hybrid thyroid tumor type classification system using feature fusion, multilayer perceptron and bonobo optimization.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Thyroid tumor is considered to be a very rare form of cancer. But recent researches and surveys highlight the fact that it is becoming prevalent these days because of various factors.
Thyroid Gland Thyroid Neoplasms Ultrasonography Algorithms Sensitivity and Specificity Image Interpretation, Computer-Assisted Neural Networks, Computer Artificial Intelligence Humans
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Software that combines deep learning, 3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Ultrasound is one of the non-invasive techniques that are used in clinical diagnostics of carotid artery disease.
Software Hemodynamics Deep Learning Humans Ultrasonography Carotid Arteries Carotid Artery Diseases Imaging, Three-Dimensional
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Application of Machine-learning based on Radiomics Features in Differential Diagnosis of Superficial Lymphadenopathy.

Current medical imaging Jan 1, 2024
OBJECTIVE: The accurate diagnosis of superficial lymphadenopathy is challenging. We aim to explore a non-invasive and accurate machine-learning method for distinguishing benign lymph nodes, lymphoma, and metastatic lymph nodes.
Middle Aged Ultrasonography ROC Curve Radiomics Male Lymphatic Metastasis Machine Learning Diagnosis, Differential Retrospective Studies Area Under Curve Aged Humans Lymph Nodes Adult Lymphoma Lymphadenopathy Female
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ChatGPT's response to frequently asked questions about ultrasonography.

Medical ultrasonography Dec 27, 2023
Artificial Intelligence Ultrasonography
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ChatGPT-assisted deep learning model for thyroid nodule analysis: beyond artifical intelligence.

Medical ultrasonography Dec 27, 2023
AIMS: To develop a deep learning model, with the aid of ChatGPT, for thyroid nodules, utilizing ultrasound images. The cytopathology of the fine needle aspiration biopsy (FNAB) serves as the baseline.
Deep Learning Thyroid Neoplasms Ultrasonography Retrospective Studies Sensitivity and Specificity Thyroid Nodule Humans Intelligence Artificial Intelligence
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Severe aortic stenosis detection by deep learning applied to echocardiography.

European heart journal Nov 14, 2023
BACKGROUND AND AIMS: Early diagnosis of aortic stenosis (AS) is critical to prevent morbidity and mortality but requires skilled examination with Doppler imaging. This study reports the development and validation of a novel deep learning model that r...
Aortic Valve Deep Learning Humans Ultrasonography Echocardiography Aortic Valve Stenosis
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