AIMC Topic: Female

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CT-derived pectoralis composition and incident pneumonia hospitalization using fully automated deep-learning algorithm: multi-ethnic study of atherosclerosis.

European radiology Nov 11, 2023
BACKGROUND: Pneumonia-related hospitalization may be associated with advanced skeletal muscle loss due to aging (i.e., sarcopenia) or chronic illnesses (i.e., cachexia). Early detection of muscle loss may now be feasible using deep-learning algorithm...
Male Middle Aged Deep Learning Incidence Pectoralis Muscles Hospitalization Humans Aged Algorithms Aged, 80 and over Tomography, X-Ray Computed Pneumonia Pulmonary Disease, Chronic Obstructive Female Atherosclerosis
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Prediction of cerebral hemorrhagic transformation after thrombectomy using a deep learning of dual-energy CT.

European radiology Nov 11, 2023
OBJECTIVES: To develop and validate a deep learning model for predicting hemorrhagic transformation after endovascular thrombectomy using dual-energy computed tomography (CT).
Male Middle Aged Deep Learning Humans Cerebral Hemorrhage Tomography, X-Ray Computed Predictive Value of Tests Retrospective Studies Female Ischemic Stroke Thrombectomy Radiography, Dual-Energy Scanned Projection Aged Aged, 80 and over
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Machine Learning-based Prediction of Postoperative Pancreatic Fistula Following Pancreaticoduodenectomy.

Annals of surgery Nov 10, 2023
OBJECTIVE: The aim of this study was to develop a novel machine learning model to predict clinically relevant postoperative pancreatic fistula (CR-POPF) following pancreaticoduodenectomy (PD).
Humans Pancreatic Fistula Male Pancreaticoduodenectomy Machine Learning Middle Aged Risk Assessment Retrospective Studies Postoperative Complications Female Aged
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Editorial for "A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI".

Journal of magnetic resonance imaging : JMRI Nov 10, 2023
Female Breast Neoplasms Radiomics Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Humans Diagnosis, Differential Machine Learning Breast
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Outcome prediction of methadone poisoning in the United States: implications of machine learning in the National Poison Data System (NPDS).

Drug and chemical toxicology Nov 9, 2023
Methadone is an opioid receptor agonist with a high potential for abuse. The current study aimed to compare different machine learning models to predict the outcomes following methadone poisoning. This six-year retrospective longitudinal study utiliz...
Male Middle Aged Adolescent United States Female Reproducibility of Results Young Adult Adult Longitudinal Studies Analgesics, Opioid Methadone Poison Control Centers Machine Learning Databases, Factual Retrospective Studies Humans
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MRI Deep Learning-Based Automatic Segmentation of Interventricular Septum for Black-Blood Myocardial T2* Measurement in Thalassemia.

Journal of magnetic resonance imaging : JMRI Nov 9, 2023
BACKGROUND: The T2* value of interventricular septum is routinely reported for grading myocardial iron load in thalassemia major, and automatic segmentation of septum could shorten analysis time and reduce interobserver variability.
beta-Thalassemia Iron Overload Thalassemia Observer Variation Ventricular Septum Adolescent Image Processing, Computer-Assisted Magnetic Resonance Imaging Myocardium Adult Male Middle Aged Deep Learning Female Reproducibility of Results Young Adult Humans Retrospective Studies
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Voxel-based morphometry in single subjects without a scanner-specific normal database using a convolutional neural network.

European radiology Nov 9, 2023
OBJECTIVES: Reliable detection of disease-specific atrophy in individual T1w-MRI by voxel-based morphometry (VBM) requires scanner-specific normal databases (NDB), which often are not available. The aim of this retrospective study was to design, trai...
Humans Magnetic Resonance Imaging Female Alzheimer Disease Neural Networks, Computer Atrophy Aged Databases, Factual Frontotemporal Lobar Degeneration Male Brain Retrospective Studies Middle Aged
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Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms.

European radiology Nov 8, 2023
OBJECTIVES: To validate an AI system for standalone breast cancer detection on an entire screening population in comparison to first-reading breast radiologists.
Humans Artificial Intelligence Female Aged Sensitivity and Specificity Breast Neoplasms Denmark Middle Aged Mammography Mass Screening Radiologists Early Detection of Cancer
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Improving mammography interpretation for both novice and experienced readers: a comparative study of two commercial artificial intelligence software.

European radiology Nov 8, 2023
OBJECTIVES: To evaluate the improvement of mammography interpretation for novice and experienced radiologists assisted by two commercial AI software.
Artificial Intelligence Software Female Reproducibility of Results Aged Humans Clinical Competence Mammography Radiologists Radiographic Image Interpretation, Computer-Assisted Observer Variation Adult Sensitivity and Specificity Breast Neoplasms Middle Aged
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Prediction of early hematoma expansion of spontaneous intracerebral hemorrhage based on deep learning radiomics features of noncontrast computed tomography.

European radiology Nov 8, 2023
OBJECTIVES: Aimed to develop a nomogram model based on deep learning features and radiomics features for the prediction of early hematoma expansion.
Cerebral Hemorrhage Retrospective Studies Predictive Value of Tests Tomography, X-Ray Computed Hematoma Female Middle Aged Aged Deep Learning Radiomics Nomograms Male Humans
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