AIMC Topic: Necrosis

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Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models.

PloS one Apr 17, 2019
Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosarcoma. This study reports the first fully automated tool to assess viable and necrotic tumor in osteosarcoma, employing advances in histopathology digi...
Deep Learning ROC Curve Support Vector Machine Osteosarcoma Datasets as Topic Bone and Bones Necrosis Bone Neoplasms Image Interpretation, Computer-Assisted Humans Software Reproducibility of Results
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Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning.

Magnetic resonance imaging Apr 5, 2019
PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiography and intraPlaque Hemorrhage (SNAP) to detect the lipid-rich/necrotic core (LRNC), and develop a machine learning based algorithm to segment plaque c...
Reproducibility of Results Aged Sensitivity and Specificity Male Humans Machine Learning Algorithms Female Cerebral Hemorrhage Bayes Theorem Carotid Arteries Carotid Artery, Common Plaque, Atherosclerotic Middle Aged Contrast Media Calcinosis Lipids Angiography Necrosis Carotid Stenosis Plaque, Amyloid
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Predicting adverse drug reactions through interpretable deep learning framework.

BMC bioinformatics Dec 28, 2018
BACKGROUND: Adverse drug reactions (ADRs) are unintended and harmful reactions caused by normal uses of drugs. Predicting and preventing ADRs in the early stage of the drug development pipeline can help to enhance drug safety and reduce financial cos...
Necrosis Models, Theoretical Area Under Curve Humans Drug-Related Side Effects and Adverse Reactions Back Pain Deep Learning
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Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical- Approach Combining Experiments and Machine Learning.

Frontiers in immunology Mar 20, 2018
Life-threatening cardiomyopathy is a severe, but common, complication associated with severe trauma or sepsis. Several signaling pathways involved in apoptosis and necroptosis are linked to trauma- or sepsis-associated cardiomyopathy. However, the un...
Apoptosis Caspase 3 Heparitin Sulfate Myocytes, Cardiac Cardiomyopathies Wounds and Injuries Cytochromes c Cell Culture Techniques Necrosis Receptor-Interacting Protein Serine-Threonine Kinases Animals Humans Sepsis Machine Learning Mice Algorithms Cells, Cultured Signal Transduction
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Tissue classification and segmentation of pressure injuries using convolutional neural networks.

Computer methods and programs in biomedicine Mar 3, 2018
BACKGROUND AND OBJECTIVES: This paper presents a new approach for automatic tissue classification in pressure injuries. These wounds are localized skin damages which need frequent diagnosis and treatment. Therefore, a reliable and accurate systems fo...
Image Processing, Computer-Assisted Databases, Factual Wound Healing Humans Tomography, X-Ray Computed Models, Statistical Models, Anatomic Reproducibility of Results Wounds and Injuries Neural Networks, Computer Necrosis Sensitivity and Specificity Algorithms Pressure Ulcer
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Abnormal elevation of myocardial necrosis biomarkers after coronary artery bypass grafting without established myocardial infarction assessed by cardiac magnetic resonance.

Journal of cardiothoracic surgery Dec 29, 2017
BACKGROUND: The diagnosis of peri-procedural myocardial infarction is complex, especially after the emergence of high-sensitivity markers of myocardial necrosis.
Necrosis Magnetic Resonance Imaging Myocardium Heart Myocardial Infarction Troponin I Male Humans Gadolinium Biomarkers Middle Aged Coronary Artery Bypass Female Postoperative Complications Creatine Kinase, MB Form Aged Electrocardiography
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Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI.

Journal of magnetic resonance imaging : JMRI Apr 10, 2015
PURPOSE: To develop a classification model using texture features and support vector machine in contrast-enhanced T1-weighted images to differentiate between brain metastasis and radiation necrosis.
Diagnosis, Differential Female Humans Middle Aged Image Enhancement Reproducibility of Results Brain Area Under Curve Support Vector Machine Radiation Injuries Brain Neoplasms Retrospective Studies Contrast Media Male Necrosis Magnetic Resonance Imaging
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Quantitative and Morphology-Based Deep Convolutional Neural Network Approaches for Osteosarcoma Survival Prediction in the Neoadjuvant and Metastatic Settings.

Clinical cancer research : an official journal of the American Association for Cancer Research Jan 17, 2025
PURPOSE: Necrosis quantification in the neoadjuvant setting using pathology slide review is the most important validated prognostic marker in conventional osteosarcoma. Herein, we explored three deep-learning strategies on histology samples to predic...
Prognosis Female Young Adult Adult Humans Neural Networks, Computer Neoadjuvant Therapy Osteosarcoma Bone Neoplasms Kaplan-Meier Estimate Necrosis Male Deep Learning Convolutional Neural Networks Adolescent
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Comparison of wound surface area measurements obtained using clinically validated artificial intelligence-based technology versus manual methods and the effect of measurement method on debridement code reimbursement cost.

Wounds : a compendium of clinical research and practice Oct 1, 2023
BACKGROUND: Evidence shows that ongoing accurate wound assessments using valid and reliable measurement methods is essential to effective wound monitoring and better wound care management. Relying on subjective interpretation in measuring wound dimen...
Debridement Necrosis Humans Artificial Intelligence Wound Healing
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Efficacy of robot-assisted core decompression combined with human umbilical cord-derived mesenchymal stem cell transplantation for osteonecrosis of the femoral head.

European review for medical and pharmacological sciences Jun 1, 2022
OBJECTIVE: The aim of this paper was to evaluate the effects of robot-assisted core decompression combined with human umbilical cord-derived mesenchymal stem cell (hUC-MSC) transplantation for early-stage osteonecrosis of the femoral head (ONFH).
Femur Head Osteonecrosis Umbilical Cord Humans Mesenchymal Stem Cell Transplantation Necrosis Retrospective Studies Decompression Robotics Immunologic Factors
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