AIMC Topic: Female

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Coronary heart disease classification using deep learning approach with feature selection for improved accuracy.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Coronary heart disease (CHD) is one of the deadliest diseases and a risk prediction model for cardiovascular conditions is needed. Due to the huge number of features that lead to heart problems, it is often difficult for an expert to eval...
Deep Learning Aged ROC Curve Humans Male Neural Networks, Computer Nutrition Surveys Coronary Disease Middle Aged Female Risk Assessment
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Detection of anemic condition in patients from clinical markers and explainable artificial intelligence.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Anaemia is a commonly known blood illness worldwide. Red blood cell (RBC) count or oxygen carrying capability being insufficient are two ways to describe anaemia. This disorder has an impact on the quality of life. If anaemia is detected ...
Humans Artificial Intelligence Adult Machine Learning Bayes Theorem Algorithms Male Biomarkers Anemia Middle Aged Female Support Vector Machine
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Peri-lesion regions in differentiating suspicious breast calcification-only lesions specifically on contrast enhanced mammography.

Journal of X-ray science and technology Jan 1, 2024
PURPOSE: The explore the added value of peri-calcification regions on contrast-enhanced mammography (CEM) in the differential diagnosis of breast lesions presenting as only calcification on routine mammogram.
Female Mammography Aged Diagnosis, Differential Middle Aged Adult Radiographic Image Interpretation, Computer-Assisted Humans Contrast Media Breast Neoplasms Breast Machine Learning Calcinosis
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Development and validation of a clinical prediction model for glioma grade using machine learning.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Histopathological evaluation is currently the gold standard for grading gliomas; however, this technique is invasive.
Humans Machine Learning Algorithms Glioma Female Area Under Curve Brain Neoplasms Risk Factors Neoplasm Grading Male Aged Middle Aged Adult
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Deep learning-based differentiation of peripheral high-flow and low-flow vascular malformations in T2-weighted short tau inversion recovery MRI.

Clinical hemorheology and microcirculation Jan 1, 2024
BACKGROUND: Differentiation of high-flow from low-flow vascular malformations (VMs) is crucial for therapeutic management of this orphan disease.
Female Child Aged Humans Magnetic Resonance Imaging Middle Aged Adult Vascular Malformations Deep Learning Male Adolescent Child, Preschool
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A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture.

Radiology Jan 1, 2024
Background Patients have the highest risk of subsequent fractures in the first few years after an initial fracture, yet models to predict short-term subsequent risk have not been developed. Purpose To develop and validate a deep learning prediction m...
Aged Adult Deep Learning Area Under Curve Hip Fractures Humans Retrospective Studies Tomography, X-Ray Computed Female
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Application of Machine-learning based on Radiomics Features in Differential Diagnosis of Superficial Lymphadenopathy.

Current medical imaging Jan 1, 2024
OBJECTIVE: The accurate diagnosis of superficial lymphadenopathy is challenging. We aim to explore a non-invasive and accurate machine-learning method for distinguishing benign lymph nodes, lymphoma, and metastatic lymph nodes.
Adult Radiomics Male Middle Aged Retrospective Studies Female Aged Lymphoma Lymphatic Metastasis Diagnosis, Differential Area Under Curve Ultrasonography ROC Curve Lymphadenopathy Lymph Nodes Humans Machine Learning
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The changes in bladder function and symptoms after robot-assisted sacrocolpopexy and transvaginal mesh surgery for pelvic organ prolapse.

Taiwanese journal of obstetrics & gynecology Jan 1, 2024
OBJECTIVE: This study is aimed to compare the impact on bladder function and symptoms between robotic sacrocolpopexy (RSC) and transvaginal mesh surgery (TVM) in women with pelvic organ prolapse.
Pelvic Organ Prolapse Robotics Surgical Mesh Humans Lower Urinary Tract Symptoms Urinary Incontinence, Stress Prospective Studies Urinary Retention Female Urinary Bladder
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Common on "comparison of cesarean delivery outcome after robotic and laparoscopic myomectomy".

Taiwanese journal of obstetrics & gynecology Jan 1, 2024
Robotic Surgical Procedures Uterine Neoplasms Uterine Myomectomy Cesarean Section Robotics Laparoscopy Humans Retrospective Studies Pregnancy Female
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Prospective Comparison of Standard and Deep Learning-reconstructed Turbo Spin-Echo MRI of the Shoulder.

Radiology Jan 1, 2024
Background Deep learning (DL)-based MRI reconstructions can reduce imaging times for turbo spin-echo (TSE) examinations. However, studies that prospectively use DL-based reconstructions of rapidly acquired, undersampled MRI in the shoulder are lackin...
Humans Magnetic Resonance Imaging Artifacts Shoulder Physical Examination Female Adult Middle Aged Deep Learning
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