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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 ROC Curve Nutrition Surveys Coronary Disease Aged Humans Male Neural Networks, Computer Middle Aged Female Risk Assessment
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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.
Calcinosis Mammography Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Adult Breast Neoplasms Middle Aged Contrast Media Humans Breast Machine Learning Female Aged
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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.
Glioma Area Under Curve Neoplasm Grading Brain Neoplasms Male Middle Aged Female Risk Factors Aged Humans Adult Machine Learning Algorithms
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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 Aged Child Magnetic Resonance Imaging Humans Adult Vascular Malformations Middle Aged Deep Learning Adolescent Child, Preschool Male
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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...
Adult Deep Learning Area Under Curve Hip Fractures Retrospective Studies Tomography, X-Ray Computed Female Aged Humans
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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.
Lymphadenopathy Lymph Nodes Lymphoma Lymphatic Metastasis Diagnosis, Differential Area Under Curve Male Middle Aged Ultrasonography ROC Curve Aged Adult Radiomics Humans Machine Learning Retrospective Studies Female
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Diabetic Retinopathy Diagnosis based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study.

Current diabetes reviews Jan 1, 2024
BACKGROUND: Diabetic retinopathy is the most common complication of diabetes mellitus and is one of the leading causes of vision impairment globally, which is also relevant for the Russian Federation.
Adult Sensitivity and Specificity Cross-Sectional Studies Male Neural Networks, Computer Prospective Studies Female Aged Middle Aged Russia Humans Diabetic Retinopathy
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Health Disinformation Use Case Highlighting the Urgent Need for Artificial Intelligence Vigilance: Weapons of Mass Disinformation.

JAMA internal medicine Jan 1, 2024
IMPORTANCE: Although artificial intelligence (AI) offers many promises across modern medicine, it may carry a significant risk for the mass generation of targeted health disinformation. This poses an urgent threat toward public health initiatives and...
Health Personnel Pregnancy Female Aged Humans Artificial Intelligence Knowledge Aged, 80 and over Young Adult Disinformation Wakefulness
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Lung cancer detection based on computed tomography image using convolutional neural networks.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Lung cancer is the most common type of cancer, accounting for 12.8% of cancer cases worldwide. As initially non-specific symptoms occur, it is difficult to diagnose in the early stages.
Tomography, X-Ray Computed Lung Neoplasms Female Humans Aged Male Sensitivity and Specificity Neural Networks, Computer Middle Aged Retrospective Studies Case-Control Studies Deep Learning
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A machine learning prediction model for cancer risk in patients with type 2 diabetes based on clinical tests.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: The incidence of type 2 diabetes is rapidly increasing worldwide. Studies have shown that it is also associated with cancer-related morbidities. Early detection of cancer in patients with type 2 diabetes is crucial.
Female Risk Factors Aged Adult Humans Machine Learning Algorithms ROC Curve Diabetes Mellitus, Type 2 Early Detection of Cancer Male Decision Trees Middle Aged Risk Assessment Neoplasms
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