AIMC Topic:
Ultrasonography

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Impact of Hydroxy-Methyl-Butyrate Supplementation on Malnourished Patients Assessed Using AI-Enhanced Ultrasound Imaging.

Journal of cachexia, sarcopenia and muscle Feb 1, 2025
BACKGROUND: This study aimed to evaluate the effects of an oral nutritional supplement (ONS) enriched with hydroxy-methyl-butyrate (HMB) in subjects with disease-related malnutrition (DRM) and to monitor these effects with an ultrasound Imaging Syste...
Middle Aged Female Nutrition Assessment Aged Ultrasonography Adult Male Dietary Supplements Sarcopenia Malnutrition Humans Valerates Artificial Intelligence
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Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study.

The Lancet. Digital health Feb 1, 2025
BACKGROUND: Point-of-care ultrasonography (POCUS) enables cardiac imaging at the bedside and in communities but is limited by abbreviated protocols and variation in quality. We aimed to develop and test artificial intelligence (AI) models to screen f...
Retrospective Studies Female Aged Male Ultrasonography Point-of-Care Systems Humans Cardiomyopathy, Hypertrophic Cardiomyopathies Echocardiography Neural Networks, Computer Middle Aged Amyloid Neuropathies, Familial Artificial Intelligence
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Automatic anal sphincter integrity detection from ultrasound images via convolutional neural networks.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2025
BACKGROUND: The anal sphincter complex comprises the anal sphincter and the U-shaped deep and superficial puborectalis muscle. As an important supporting structure of the posterior pelvic floor, together with its surrounding tissues and muscles, the ...
Humans Neural Networks, Computer Female Deep Learning Ultrasonography ROC Curve Anal Canal Adult Male Middle Aged Pelvic Floor
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Remote Monitoring, AI, Machine Learning and Mobile Ultrasound Integration upon 5G Internet in the Prehospital Care to Support the Golden Hour Principle and Optimize Outcomes in Severe Trauma and Emergency Surgery.

Studies in health technology and informatics Aug 22, 2024
AIM: Feasibility and reliability evaluation of 5G internet networks (5G IN) upon Artificial Intelligence (AI)/Machine Learning (ML), of telemonitoring and mobile ultrasound (m u/s) in an ambulance car (AC)- integrated in the pre-hospital setting (PS)...
Humans Wounds and Injuries Artificial Intelligence Emergency Medical Services Internet Feasibility Studies Machine Learning Telemedicine Reproducibility of Results Ultrasonography
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Hybrid Artificial Intelligence Solution Combining Convolutional Neural Network and Analytical Approach Showed Higher Accuracy in A-lines Detection on Lung Ultrasound in Thoracic Surgery Patients Compared with Radiology Resident.

Neuro endocrinology letters Aug 12, 2024
OBJECTIVES: Lung ultrasound reduces the number of chest X-rays after thoracic surgery and thus the radiation. COVID-19 pandemic has accelerated research in lung ultrasound artifacts detection using artificial intelligence. This study evaluates the ac...
Radiology Artifacts Thoracic Surgical Procedures Internship and Residency Male Middle Aged Lung Ultrasonography Humans Aged Neural Networks, Computer Adult Prospective Studies Sensitivity and Specificity Female Artificial Intelligence COVID-19
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A review of robot-assisted ultrasound examination: Systems and technology.

The international journal of medical robotics + computer assisted surgery : MRCAS Aug 1, 2024
BACKGROUND: At present, the number and overall level of ultrasound (US) doctors cannot meet the medical needs, and the medical ultrasound robots will largely solve the shortage of medical resources.
Automation Robotics Equipment Design Robotic Surgical Procedures Ultrasonography Image Processing, Computer-Assisted Humans
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[Deep Learning-Based Artificial Intelligence Model for Automatic Carotid Plaque Identification].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Jul 30, 2024
This study aims at developing a dataset for determining the presence of carotid artery plaques in ultrasound images, composed of 1761 ultrasound images from 1165 participants. A deep learning architecture that combines bilinear convolutional neural n...
Image Processing, Computer-Assisted Carotid Arteries Plaque, Atherosclerotic Carotid Stenosis Carotid Artery Diseases Neural Networks, Computer Artificial Intelligence Deep Learning Ultrasonography Humans
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[Preoperative Evaluation of Cervical Lymph Node Metastasis in Patients With Hashimoto's Thyroiditis Combined With Thyroid Papillary Carcinoma Using Machine Learning and Radiomics-Based Features: A Preliminary Study].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Jul 20, 2024
OBJECTIVE: To analyze the radiomic and clinical features extracted from 2D ultrasound images of thyroid tumors in patients with Hashimoto's thyroiditis (HT) combined with papillary thyroid carcinoma (PTC) using machine learning (ML) models, and to ex...
Humans Carcinoma, Papillary Thyroid Cancer, Papillary Machine Learning Support Vector Machine Radiomics Neck Thyroid Neoplasms Ultrasonography Lymphatic Metastasis ROC Curve Lymph Nodes Hashimoto Disease
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Classification of Carotid Plaque with Jellyfish Sign Through Convolutional and Recurrent Neural Networks Utilizing Plaque Surface Edges.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
In carotid arteries, plaque can develop as localized elevated lesions. The Jellyfish sign, marked by fluctuating plaque surfaces with blood flow pulsation, is a dynamic characteristic of these plaques that has recently attracted attention. Detecting ...
Carotid Arteries Deep Learning Humans Plaque, Atherosclerotic Recurrent Neural Networks Neural Networks, Computer Ultrasonography Carotid Stenosis Algorithms Image Processing, Computer-Assisted
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SimICL: A Simple Visual In-context Learning Framework for Ultrasound Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Conventional deep learning models deal with images one-by-one, requiring costly and time-consuming expert labeling in the field of medical imaging, and domain-specific restriction limits model generalizability. Visual in-context learning (ICL) is a n...
Deep Learning Ultrasonography Machine Learning Image Processing, Computer-Assisted Algorithms Humans
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