AIMC Topic: Female

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Deep learning-based survival prediction for multiple cancer types using histopathology images.

PloS one Jun 17, 2020
Providing prognostic information at the time of cancer diagnosis has important implications for treatment and monitoring. Although cancer staging, histopathological assessment, molecular features, and clinical variables can provide useful prognostic ...
Deep Learning Image Processing, Computer-Assisted Age Factors Neoplasm Staging Feasibility Studies Sex Factors Adult Survival Analysis Male Datasets as Topic Middle Aged Humans Risk Assessment Prognosis Neoplasms Female Risk Factors
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Decoding attention control and selection in visual spatial attention.

Human brain mapping Jun 16, 2020
Event-related potentials (ERPs) are used extensively to investigate the neural mechanisms of attention control and selection. The univariate ERP approach, however, has left important questions inadequately answered. We addressed two questions by appl...
Space Perception Executive Function Cues Brain Waves Functional Laterality Evoked Potentials Visual Perception Support Vector Machine Electroencephalography Attention Psychomotor Performance Humans Female Young Adult Adult Male Adolescent
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Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.

International journal of computer assisted radiology and surgery Jun 16, 2020
PURPOSE: Neoadjuvant chemotherapy (NAC) aims to minimize the tumor size before surgery. Predicting response to NAC could reduce toxicity and delays to effective intervention. Computational analysis of dynamic contrast-enhanced magnetic resonance imag...
Contrast Media Magnetic Resonance Imaging Area Under Curve Humans Chemotherapy, Adjuvant Neural Networks, Computer Deep Learning Retrospective Studies ROC Curve Female Image Processing, Computer-Assisted Adult Breast Neoplasms Treatment Outcome Middle Aged Neoadjuvant Therapy Antineoplastic Agents Diagnosis, Computer-Assisted
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Optimal length of R-R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning.

Biomedical engineering online Jun 16, 2020
BACKGROUND: Heartbeat interval Lorenz plot (LP) imaging is a promising method for detecting atrial fibrillation (AF) in long-term monitoring, but the optimal segment window length for the LP images is unknown. We examined the performance of AF detect...
Humans Neural Networks, Computer Databases, Factual Female Aged Male Middle Aged Electrocardiography Signal Processing, Computer-Assisted Atrial Fibrillation Heart Rate
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Artificial Intelligence Medical Ultrasound Equipment: Application of Breast Lesions Detection.

Ultrasonic imaging Jun 16, 2020
Breast cancer ranks first among cancers affecting women's health. Our work aims to realize the intelligence of the medical ultrasound equipment with limited computational capability, which is used for the assistant detection of breast lesions. We emb...
Ultrasonography, Mammary Humans Artificial Intelligence Breast Databases, Factual Image Interpretation, Computer-Assisted Female Beijing Breast Neoplasms
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A preliminary study to quantitatively evaluate the development of maturation degree for fetal lung based on transfer learning deep model from ultrasound images.

International journal of computer assisted radiology and surgery Jun 15, 2020
PURPOSE: The evaluation of fetal lung maturity is critical for clinical practice since the lung immaturity is an important cause of neonatal morbidity and mortality. For the evaluation of the development of fetal lung maturation degree, our study est...
Humans Machine Learning Female Pregnancy Infant, Newborn Ultrasonography, Prenatal Lung Gestational Age
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Internet of things-inspired healthcare system for urine-based diabetes prediction.

Artificial intelligence in medicine Jun 15, 2020
Healthcare industry is the leading domain that has been revolutionized by the incorporation of Internet of Things (IoT) technology resulting in smart medical applications. Conspicuously, this study presents an effective system of home-centric Urine-b...
Delivery of Health Care Diabetes Mellitus Female Humans Internet Reproducibility of Results Neural Networks, Computer Male
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Improving blood glucose level predictability using machine learning.

Diabetes/metabolism research and reviews Jun 14, 2020
This study was designed to improve blood glucose level predictability and future hypoglycemic and hyperglycemic event alerts through a novel patient-specific supervised-machine-learning (SML) analysis of glucose level based on a continuous-glucose-mo...
Machine Learning Algorithms Biomarkers Prognosis Female Diabetes Mellitus, Type 1 Humans Follow-Up Studies Young Adult Hypoglycemia Adult Israel Male Blood Glucose Self-Monitoring Adolescent Blood Glucose
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Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes.

Circulation. Arrhythmia and electrophysiology Jun 14, 2020
BACKGROUND: Cardiac resynchronization therapy (CRT) improves heart failure outcomes but has significant nonresponse rates, highlighting limitations in ECG selection criteria: QRS duration (QRSd) ≥150 ms and subjective labeling of left bundle branch b...
Time Factors Electrocardiography Treatment Outcome Unsupervised Machine Learning Recovery of Function Middle Aged Risk Assessment Disease Progression Diagnosis, Computer-Assisted Heart Transplantation Bundle-Branch Block Predictive Value of Tests Signal Processing, Computer-Assisted Heart Failure Cardiac Resynchronization Therapy Heart-Assist Devices Humans Retrospective Studies Female Risk Factors Aged Male Ventricular Function, Left Stroke Volume
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Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation.

Circulation. Arrhythmia and electrophysiology Jun 14, 2020
BACKGROUND: Pulmonary vein isolation (PVI) is an effective treatment strategy for patients with atrial fibrillation (AF), but many experience AF recurrence and require repeat ablation procedures. The goal of this study was to develop and evaluate a m...
Humans Machine Learning Retrospective Studies Models, Cardiovascular Patient-Specific Modeling Pulmonary Veins Contrast Media Meglumine Magnetic Resonance Imaging Male Female Action Potentials Middle Aged Heart Rate Reproducibility of Results Predictive Value of Tests Risk Assessment Risk Factors Catheter Ablation Diagnosis, Computer-Assisted Aged Atrial Fibrillation Proof of Concept Study Treatment Outcome Organometallic Compounds Recurrence
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