AIMC Topic: Deep Learning

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Integrating deep learning architectures for enhanced biomedical relation extraction: a pipeline approach.

Database : the journal of biological databases and curation Aug 28, 2024
Biomedical relation extraction from scientific publications is a key task in biomedical natural language processing (NLP) and can facilitate the creation of large knowledge bases, enable more efficient knowledge discovery, and accelerate evidence syn...
Deep Learning Natural Language Processing Data Mining Neural Networks, Computer Databases, Factual
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Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease.

Journal of the American College of Cardiology Aug 27, 2024
BACKGROUND: Artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis shows promise to detect biventricular pathophysiology. However, AI-ECG analysis remains underexplored in congenital heart disease (CHD).
Humans Male Deep Learning Adolescent Female Young Adult Adult Ventricular Dysfunction, Left Heart Defects, Congenital Magnetic Resonance Imaging, Cine Electrocardiography Child, Preschool Predictive Value of Tests Child Ventricular Dysfunction, Right
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Prospective deep learning-based quantitative assessment of coronary plaque by computed tomography angiography compared with intravascular ultrasound: the REVEALPLAQUE study.

European heart journal. Cardiovascular Imaging Aug 26, 2024
AIMS: Coronary computed tomography angiography provides non-invasive assessment of coronary stenosis severity and flow impairment. Automated artificial intelligence (AI) analysis may assist in precise quantification and characterization of coronary a...
Middle Aged Severity of Illness Index Deep Learning Aged Male Japan Plaque, Atherosclerotic Computed Tomography Angiography Coronary Angiography Ultrasonography, Interventional Coronary Artery Disease Humans Prospective Studies Female
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[A lightweight recurrence prediction model for high grade serous ovarian cancer based on hierarchical transformer fusion metadata].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2024
High-grade serous ovarian cancer has a high degree of malignancy, and at detection, it is prone to infiltration of surrounding soft tissues, as well as metastasis to the peritoneum and lymph nodes, peritoneal seeding, and distant metastasis. Whether ...
Ovarian Neoplasms Algorithms Humans Neoplasm Recurrence, Local Metadata Neural Networks, Computer Female Cystadenocarcinoma, Serous Deep Learning
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[Study on automatic and rapid diagnosis of distal radius fracture by X-ray].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2024
This article aims to combine deep learning with image analysis technology and propose an effective classification method for distal radius fracture types. Firstly, an extended U-Net three-layer cascaded segmentation network was used to accurately seg...
Image Processing, Computer-Assisted Radiography Radius Fractures Algorithms Humans Deep Learning Wrist Fractures
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[Detection model of atrial fibrillation based on multi-branch and multi-scale convolutional networks].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2024
Atrial fibrillation (AF) is a life-threatening heart condition, and its early detection and treatment have garnered significant attention from physicians in recent years. Traditional methods of detecting AF heavily rely on doctor's diagnosis based on...
Atrial Fibrillation Heart Rate Machine Learning Humans Electrocardiography Algorithms Neural Networks, Computer Signal Processing, Computer-Assisted Deep Learning
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[Early classification and recognition algorithm for sudden cardiac arrest based on limited electrocardiogram data trained with a two-stages convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2024
Sudden cardiac arrest (SCA) is a lethal cardiac arrhythmia that poses a serious threat to human life and health. However, clinical records of sudden cardiac death (SCD) electrocardiogram (ECG) data are extremely limited. This paper proposes an early ...
Neural Networks, Computer Algorithms Sensitivity and Specificity Deep Learning Electrocardiography Signal Processing, Computer-Assisted Humans Arrhythmias, Cardiac Death, Sudden, Cardiac Heart Rate
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Explaining Deep Learning Models Applied in Histopathology: Current Developments and the Path to Sustainability.

Studies in health technology and informatics Aug 22, 2024
The digital pathology landscape is in continuous expansion. The digitalization of slides using WSIs (Whole Slide Images) fueled the capacity of automatic support for diagnostics. The paper presents an overview of the current state of the art methods ...
Humans Deep Learning Image Interpretation, Computer-Assisted
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Exploring Explainable AI Techniques for Text Classification in Healthcare: A Scoping Review.

Studies in health technology and informatics Aug 22, 2024
Text classification plays an essential role in the medical domain by organizing and categorizing vast amounts of textual data through machine learning (ML) and deep learning (DL). The adoption of Artificial Intelligence (AI) technologies in healthcar...
Natural Language Processing Machine Learning Electronic Health Records Deep Learning Humans Artificial Intelligence
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Data for AI in Congenital Heart Defects: Systematic Review.

Studies in health technology and informatics Aug 22, 2024
Congenital heart disease (CHD) represents a significant challenge in prenatal care due to low prenatal detection rates. Artificial Intelligence (AI) offers promising avenues for precise CHD prediction. In this study we conducted a systematic review a...
Heart Defects, Congenital Prenatal Diagnosis Deep Learning Magnetic Resonance Imaging Humans Artificial Intelligence Pregnancy Female Ultrasonography, Prenatal
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