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Efficient Edge-AI Models for Robust ECG Abnormality Detection on Resource-Constrained Hardware
This study introduces two models, ConvLSTM2D-liquid time-constant network (CLTC) and ConvLSTM2D-closed-form continuous-time neural network (CCfC),...
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Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases
Respiratory diseases impose a tremendous global health burden on large patient populations. In this study, we aimed to develop DeepMRD TR , a deep...
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Kidney biopsy in patients with antineutrophil cytoplasmic antibody-associated vasculitis with mild renal abnormality
Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis is a systemic inflammation of small or medium blood vessels that includes...
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Automatic Diagnostic Tool for Detection of Regional Wall Motion Abnormality from Echocardiogram
The echocardiogram is an ultrasound imaging modality, employed to assess cardiac abnormalities. The Regional Wall Motion Abnormality (RWMA) is the...
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Machine Learning Identification Framework of Hemodynamics of Blood Flow in Patient-Specific Coronary Arteries with Abnormality
In this study, we put forth a new deep neural network framework to predict flow behavior in a coronary arterial network with different properties in...
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Systematic Review of Artificial Intelligence for Abnormality Detection in High-volume Neuroimaging and Subgroup Meta-analysis for Intracranial Hemorrhage Detection
PurposeMost studies evaluating artificial intelligence (AI) models that detect abnormalities in neuroimaging are either tested on unrepresentative...
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Fully automated identification of brain abnormality from whole-body FDG-PET imaging using deep learning-based brain extraction and statistical parametric map**
BackgroundThe whole brain is often covered in [ 18 F]Fluorodeoxyglucose positron emission tomography ([ 18 F]FDG-PET) in oncology patients, but the...
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Clinical characteristics analysis of pediatric spinal cord injury without radiological abnormality in China: a retrospective study
PurposeThis study aims to analyze the clinical characteristics of Chinese children with spinal cord injury (SCI) without radiographic abnormality...
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Automated CT quantification of interstitial lung abnormality and interstitial lung disease according to the Fleischner Society in patients with resectable lung cancer: prognostic significance
ObjectiveTo assess the prognostic significance of automatically quantified interstitial lung abnormality (ILA) according to the definition by the...
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Development and Validation of a Prediction Model on Adult Emergency Department Patients for Early Identification of Fulminant Myocarditis
ObjectiveIt is difficult to predict fulminant myocarditis at an early stage in the emergency department. The objective of this study was to construct...
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Quadriceps tendon malalignment is an independent anatomical deformity which is the primary abnormality associated with lateral facet patellofemoral joint osteoarthritis
PurposeThe purposes of this study are to, firstly, develop techniques to accurately identify extensor mechanism malalignment by measuring the...
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Novel mutations in NLRP5 and PATL2 cause female infertility characterized by primarily oocyte maturation abnormality and consequent early embryonic arrest
PurposeThis study aims to identify the genetic causes of 12 women with primary infertility characterized by primarily oocyte maturation abnormality...
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Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images
An automated diagnosis system is crucial for hel** radiologists identify brain abnormalities efficiently. The convolutional neural network (CNN)...
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Variable abnormality of the melanopsin-derived portion of the pupillary light reflex (PLR) in patients with Parkinson’s disease (PD) and parkinsonism features
ObjectivesAscertain and quantify abnormality of the melanopsin-derived portion of the pupillary light reflex (PLR) in patients with Parkinson’s...
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Methodological identification of anomalies episodes in ECG streams: a systematic map** study
An electrocardiogram is a medical examination tool for measuring different patterns of heart blood flow circle either in the form of usual or...
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Assessment of electrocardiogram abnormality and associated factors among apparently healthy adult type 2 diabetic patients on follow-up at Jimma Medical Center, Southwest Ethiopia: Cross-sectional study
BackgroundDiabetes mellitus is a group of metabolic disorders causing long-term damage to the cardiovascular system which remains asymptomatic among...
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Hidden Gems: in Pursuit of Parathyroid Gland Identification During Neck Surgeries
The preservation of parathyroid glands is now understood to be quintessential during neck surgeries mainly thyroid surgeries. Because of its small...
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Logical definition-based identification of potential missing concepts in SNOMED CT
BackgroundBiomedical ontologies are representations of biomedical knowledge that provide terms with precisely defined meanings. They play a vital...
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An Integrated Ensemble Network Model for Skin Abnormality Detection with Combined Textural Features
Melanoma is the most lethal of all skin cancers. This necessitates the need for a machine learning-driven skin cancer detection system to help...
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Molecular patterns of alpha-thalassemia in the kingdom of Saudi Arabia: identification of prevalent genotypes and regions with high incidence
BackgroundAlpha-thalassemia (α-thalassemia) is one of the most common monogenic diseases in Saudi Arabia and is associated with significant...