AIMC Topic: Datasets as Topic

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An Artificial Intelligence-Driven Approach for Automatic Evaluation of Right-to-Left Shunt Grades in Saline-Contrasted Transthoracic Echocardiography.

Ultrasound in medicine & biology May 1, 2024
BACKGROUND: Intracardiac or pulmonary right-to-left shunt (RLS) is a common cardiac anomaly associated with an increased risk of neurological disorders, specifically cryptogenic stroke. Saline-contrasted transthoracic echocardiography (scTTE) is ofte...
Humans Artificial Intelligence Datasets as Topic Saline Solution Internship and Residency Cardiology Foramen Ovale, Patent Contrast Media Ischemic Stroke Area Under Curve Image Interpretation, Computer-Assisted Reproducibility of Results Sensitivity and Specificity Echocardiography
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Deep Learning Models for Abdominal CT Organ Segmentation in Children: Development and Validation in Internal and Heterogeneous Public Datasets.

AJR. American journal of roentgenology May 1, 2024
Deep learning abdominal organ segmentation algorithms have shown excellent results in adults; validation in children is sparse. The purpose of this article is to develop and validate deep learning models for liver, spleen, and pancreas segmentation...
Male Infant Deep Learning Adolescent Tomography, X-Ray Computed Female Humans Datasets as Topic Infant, Newborn Retrospective Studies Child, Preschool Spleen Pancreas Child Radiography, Abdominal Liver
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One model to use them all: training a segmentation model with complementary datasets.

International journal of computer assisted radiology and surgery Apr 27, 2024
PURPOSE: Understanding surgical scenes is crucial for computer-assisted surgery systems to provide intelligent assistance functionality. One way of achieving this is via scene segmentation using machine learning (ML). However, such ML models require ...
Image Processing, Computer-Assisted Surgery, Computer-Assisted Datasets as Topic Humans Machine Learning Databases, Factual
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[Data-driven intensive care: a lack of comprehensive datasets].

Medizinische Klinik, Intensivmedizin und Notfallmedizin Apr 26, 2024
Intensive care units provide a data-rich environment with the potential to generate datasets in the realm of big data, which could be utilized to train powerful machine learning (ML) models. However, the currently available datasets are too small and...
Big Data Europe Confidentiality Germany Computer Security Critical Care Datasets as Topic Humans Machine Learning Databases, Factual Intensive Care Units
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MSLTE: multiple self-supervised learning tasks for enhancing EEG emotion recognition.

Journal of neural engineering Apr 17, 2024
. The instability of the EEG acquisition devices may lead to information loss in the channels or frequency bands of the collected EEG. This phenomenon may be ignored in available models, which leads to the overfitting and low generalization of the mo...
Datasets as Topic Emotions Electroencephalography Supervised Machine Learning Humans
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An Automated Multi-scale Feature Fusion Network for Spine Fracture Segmentation Using Computed Tomography Images.

Journal of imaging informatics in medicine Apr 15, 2024
Spine fractures represent a critical health concern with far-reaching implications for patient care and clinical decision-making. Accurate segmentation of spine fractures from medical images is a crucial task due to its location, shape, type, and sev...
Datasets as Topic Adult Spinal Fractures Male Middle Aged Spine Image Interpretation, Computer-Assisted Reproducibility of Results Deep Learning Aged Neural Networks, Computer Aged, 80 and over Predictive Value of Tests Tomography, X-Ray Computed Young Adult Female
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Machine learning-driven prediction of brain metastasis in lung adenocarcinoma using miRNA profile and target gene pathway analysis of an mRNA dataset.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico Apr 3, 2024
BACKGROUND: Brain metastasis (BM) is common in lung adenocarcinoma (LUAD) and has a poor prognosis, necessitating predictive biomarkers. MicroRNAs (MiRNAs) promote cancer cell growth, infiltration, and metastasis. However, the relationship between th...
Gene Expression Profiling Lung Neoplasms RNA, Messenger Gene Expression Regulation, Neoplastic Brain Neoplasms Male Middle Aged Datasets as Topic Adenocarcinoma of Lung MicroRNAs Epithelial-Mesenchymal Transition Vimentin Humans Machine Learning Aged Biomarkers, Tumor Prognosis Female
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Using Natural Language Processing to Identify Home Health Care Patients at Risk for Diagnosis of Alzheimer's Disease and Related Dementias.

Journal of applied gerontology : the official journal of the Southern Gerontological Society Mar 31, 2024
This study aimed to: (1) validate a natural language processing (NLP) system developed for the home health care setting to identify signs and symptoms of Alzheimer's disease and related dementias (ADRD) documented in clinicians' free-text notes; (2) ...
Medicare Datasets as Topic Proportional Hazards Models Humans Reproducibility of Results Longitudinal Studies Male Aged Natural Language Processing United States Aged, 80 and over
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Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets.

Medical image analysis Mar 25, 2024
The state-of-the-art multi-organ CT segmentation relies on deep learning models, which only generalize when trained on large samples of carefully curated data. However, it is challenging to train a single model that can segment all organs and types o...
Deep Learning Datasets as Topic Humans Databases, Factual Tomography, X-Ray Computed
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Hierarchical medical image report adversarial generation with hybrid discriminator.

Artificial intelligence in medicine Mar 21, 2024
BACKGROUND AND OBJECTIVES: Generating coherent reports from medical images is an important task for reducing doctors' workload. Unlike traditional image captioning tasks, the task of medical image report generation faces more challenges. Current mode...
Humans Thorax Diagnostic Imaging Neural Networks, Computer Deep Learning Datasets as Topic Radiography, Thoracic Image Processing, Computer-Assisted
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