AIMC Topic: Hypertrophy

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Utilizing Artificial Intelligence for Predicting Postoperative Complications in Breast Reduction Surgery: A Comprehensive Retrospective Analysis of Predictive Features and Outcomes.

Aesthetic surgery journal Apr 16, 2025
BACKGROUND: Breast reduction is a common procedure with growing rates in the United States of America, aimed at alleviating the physical and psychological burdens of macromastia. Despite high success rates, it carries a risk of complications, with in...
Middle Aged Risk Assessment Humans Postoperative Complications Artificial Intelligence Young Adult Adult Retrospective Studies Breast Female Hypertrophy Machine Learning Mammaplasty Decision Trees Predictive Value of Tests ROC Curve
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Automatic detection of adenoid hypertrophy on cone-beam computed tomography based on deep learning.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics Apr 1, 2023
INTRODUCTION: This study proposed an automatic diagnosis method based on deep learning for adenoid hypertrophy detection on cone-beam computed tomography.
Humans Deep Learning Child Hypertrophy Cone-Beam Computed Tomography Nose Image Processing, Computer-Assisted Adenoids
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Errata: Automatic Detection of Left Ventricular Dilatation and Hypertrophy from Electrocardiograms Using Deep Learning.

International heart journal Jan 1, 2022
Several errors (shown with underlines) in the following list appeared in the article entitled "Automatic Detection of Left Ventricular Dilatation and Hypertrophy from Electrocardiograms Using Deep Learning" by Takahiro Kokubo, Satoshi Kodera, Shinnos...
Humans Deep Learning Dilatation Hypertrophy Electrocardiography
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Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning.

Brain : a journal of neurology Mar 1, 2020
Neurobiological heterogeneity in schizophrenia is poorly understood and confounds current analyses. We investigated neuroanatomical subtypes in a multi-institutional multi-ethnic cohort, using novel semi-supervised machine learning methods designed t...
Atrophy Gray Matter White Matter Case-Control Studies Magnetic Resonance Imaging Hypertrophy Neuroimaging Schizophrenia Young Adult Adult Male Female Educational Status Machine Learning Humans Brain
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[Automatic Identification and Classification Diagnosis of Atrial Ventricular Hypertrophy Electrocardiogram Based on Convolutional Neural Network].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Jan 8, 2020
OBJECTIVE: Identifying Atrial Ventricular Hypertrophy Electrocardiogram (AVH ECG)and diagnosing the classification of theirs automatically.
Hypertrophy Humans Heart Atria Neural Networks, Computer Electrocardiography China
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[Effect of HBP-A on meniscal injury and pathological hypertrophy and calcification of the meniscus].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Apr 20, 2016
OBJECTIVE: To investigate the effect of HBP-A on meniscal injuries and the expressions of genes associated with pathological hypertrophy and calcification of the meniscusinduced by abnormal loading.
Osteoarthritis, Knee Glucans Tibial Meniscus Injuries Menisci, Tibial Real-Time Polymerase Chain Reaction Calcinosis Animals Hypertrophy Cattle
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Plasma Kisspeptin Levels in Newborn Infants with Breast Enlargement.

Journal of clinical research in pediatric endocrinology Sep 1, 2015
OBJECTIVE: Kisspeptin levels have been reported in children with premature thelarche, precocious puberty and adolescent gynecomastia, but there are no reports on kisspeptin levels in the neonatal period. This study aimed to investigate plasma kisspep...
Infant, Newborn Male Humans Breast Prolactin Immunoenzyme Techniques Luteinizing Hormone Kisspeptins Prospective Studies Hypertrophy Female
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Improve the diagnosis of atrial hypertrophy with the local discriminative support vector machine.

Bio-medical materials and engineering Jan 1, 2015
Computer-aided diagnosis (CAD) approaches succeed in detecting a number of diseases, however, they are not good at addressing atrial hypertrophy disease due to the lack of training data. Support Vector Machine (SVM) is very popular in few CAD solutio...
Electrocardiography Support Vector Machine Cardiomegaly Hypertrophy Discriminant Analysis Reproducibility of Results Sensitivity and Specificity Humans Heart Atria Diagnosis, Computer-Assisted Algorithms Pattern Recognition, Automated
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