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Endocrinology Subcategories: Diabetes Menopause Osteoporosis Steroids Thyroid

Showing 190-210 of 7,119 articles

The Potential Clinical Utility of an Artificial Intelligence Model for Identification of Vertebral Compression Fractures in Chest Radiographs.

PURPOSE: To assess the ability of the Annalise Enterprise CXR Triage Trauma (Annalise AI Pty Ltd, Sy...

Sep 2024 PMID: 39299617

TAG-SPARK: Empowering High-Speed Volumetric Imaging With Deep Learning and Spatial Redundancy.

Two-photon high-speed fluorescence calcium imaging stands as a mainstream technique in neuroscience ...

Sep 2024 PMID: 39283040

Screening of genes co-associated with osteoporosis and chronic HBV infection based on bioinformatics analysis and machine learning.

OBJECTIVE: To identify HBV-related genes (HRGs) implicated in osteoporosis (OP) pathogenesis and dev...

Sep 2024 PMID: 39351238

Clinical impact of deep learning-derived intravascular ultrasound characteristics in patients with deferred coronary artery.

Prognostic markers for long-term outcomes are lacking in patients with deferred (nonculprit) coronar...

Sep 2024 PMID: 39265789

ARViS: a bleed-free multi-site automated injection robot for accurate, fast, and dense delivery of virus to mouse and marmoset cerebral cortex.

Genetically encoded fluorescent sensors continue to be developed and improved. If they could be expr...

Sep 2024 PMID: 39256380

Multi-omics Analysis to Identify Key Immune Genes for Osteoporosis based on Machine Learning and Single-cell Analysis.

OBJECTIVE: Osteoporosis is a severe bone disease with a complex pathogenesis involving various immun...

Sep 2024 PMID: 39238187

Artificial intelligence assisted automatic screening of opportunistic osteoporosis in computed tomography images from different scanners.

OBJECTIVES: It is feasible to evaluate bone mineral density (BMD) and detect osteoporosis through an...

Sep 2024 PMID: 39231830

Estimating lumbar bone mineral density from conventional MRI and radiographs with deep learning in spine patients.

PURPOSE: This study aimed to develop machine learning methods to estimate bone mineral density and d...

Aug 2024 PMID: 39212711

Diagnostic accuracy of artificial intelligence models in detecting osteoporosis using dental images: a systematic review and meta-analysis.

The current study aimed to systematically review the literature on the accuracy of artificial intell...

Aug 2024 PMID: 39177815

Diagnostic accuracy of chest X-ray and CT using artificial intelligence for osteoporosis: systematic review and meta-analysis.

INTRODUCTION: Artificial intelligence (AI)-based systems using chest images are potentially reliable...

Aug 2024 PMID: 39167230

Predicting ultrasound wave stimulated bone growth in bioinspired scaffolds using machine learning.

For conditions like osteoporosis, changes in bone pore geometry even when porosity is constant have ...

Aug 2024 PMID: 39178821

Attention-based CNN-BiLSTM for sleep state classification of spatiotemporal wide-field calcium imaging data.

BACKGROUND: Wide-field calcium imaging (WFCI) with genetically encoded calcium indicators allows for...

Aug 2024 PMID: 39151658

E-pharmacophore and deep learning based high throughput virtual screening for identification of CDPK1 inhibitors of Cryptosporidium parvum.

Cryptosporidiosis, a prevalent gastrointestinal illness worldwide, is caused by the protozoan parasi...

Aug 2024 PMID: 39191165

Preventive machine learning models incorporating health checkup data and hair mineral analysis for low bone mass identification.

Machine learning (ML) models have been increasingly employed to predict osteoporosis. However, the i...

Aug 2024 PMID: 39138235

Accurate neuron segmentation method for one-photon calcium imaging videos combining convolutional neural networks and clustering.

One-photon fluorescent calcium imaging helps understand brain functions by recording large-scale neu...

Aug 2024 PMID: 39122882

Comparative analysis of vision transformers and convolutional neural networks in osteoporosis detection from X-ray images.

Within the scope of this investigation, we carried out experiments to investigate the potential of t...

Aug 2024 PMID: 39097627

Lung Adenocarcinoma Systems Biomarker and Drug Candidates Identified by Machine Learning, Gene Expression Data, and Integrative Bioinformatics Pipeline.

Lung adenocarcinoma (LUAD) is a significant planetary health challenge with its high morbidity and m...

Jul 2024 PMID: 38979602

Endocrinology

Browse Specialties

The Potential Clinical Utility of an Artificial Intelligence Model for Identification of Vertebral Compression Fractures in Chest Radiographs.

TAG-SPARK: Empowering High-Speed Volumetric Imaging With Deep Learning and Spatial Redundancy.

Screening of genes co-associated with osteoporosis and chronic HBV infection based on bioinformatics analysis and machine learning.

Clinical impact of deep learning-derived intravascular ultrasound characteristics in patients with deferred coronary artery.

ARViS: a bleed-free multi-site automated injection robot for accurate, fast, and dense delivery of virus to mouse and marmoset cerebral cortex.

Multi-omics Analysis to Identify Key Immune Genes for Osteoporosis based on Machine Learning and Single-cell Analysis.

Artificial intelligence assisted automatic screening of opportunistic osteoporosis in computed tomography images from different scanners.

Estimating lumbar bone mineral density from conventional MRI and radiographs with deep learning in spine patients.

Diagnostic accuracy of artificial intelligence models in detecting osteoporosis using dental images: a systematic review and meta-analysis.

Diagnostic accuracy of chest X-ray and CT using artificial intelligence for osteoporosis: systematic review and meta-analysis.

Predicting ultrasound wave stimulated bone growth in bioinspired scaffolds using machine learning.

Attention-based CNN-BiLSTM for sleep state classification of spatiotemporal wide-field calcium imaging data.

E-pharmacophore and deep learning based high throughput virtual screening for identification of CDPK1 inhibitors of Cryptosporidium parvum.

Preventive machine learning models incorporating health checkup data and hair mineral analysis for low bone mass identification.

Accurate neuron segmentation method for one-photon calcium imaging videos combining convolutional neural networks and clustering.

Comparative analysis of vision transformers and convolutional neural networks in osteoporosis detection from X-ray images.

Deep learning-based material decomposition of iodine and calcium in mobile photon counting detector CT.

Deep learning application of vertebral compression fracture detection using mask R-CNN.

Artificial intelligence-enhanced opportunistic screening of osteoporosis in CT scan: a scoping Review.

Classification of osteoarthritic and healthy cartilage using deep learning with Raman spectra.

Lung Adenocarcinoma Systems Biomarker and Drug Candidates Identified by Machine Learning, Gene Expression Data, and Integrative Bioinformatics Pipeline.

Browse Specialties