Endocrinology

Osteoporosis

Latest AI and machine learning research in osteoporosis for healthcare professionals.

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Showing 526-546 of 5,071 articles
Integrative blockwise sparse analysis for tissue characterization and classification.

The topic of sparse representation of samples in high dimensional spaces has attracted growing inter...

Jun 2020 32828443
Toward neuroprosthetic real-time communication from in silico to biological neuronal network via patterned optogenetic stimulation.

Restoration of the communication between brain circuitry is a crucial step in the recovery of brain ...

May 2020 32371937
Analysis of Drug Effects on iPSC Cardiomyocytes with Machine Learning.

Patient-specific induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) offer an attractive...

May 2020 32367466
Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus.

Large-scale fluorescence calcium imaging methods have become widely adopted for studies of long-term...

Apr 2020 32343646
Automatic opportunistic osteoporosis screening using low-dose chest computed tomography scans obtained for lung cancer screening.

OBJECTIVE: Osteoporosis is a prevalent and treatable condition, but it remains underdiagnosed. In th...

Feb 2020 32072260
Decoding rejuvenating effects of mechanical loading on skeletal aging using in vivo μCT imaging and deep learning.

Throughout the process of aging, dynamic changes of bone material, micro- and macro-architecture res...

Feb 2020 32058080
Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols.

Background Although several deep learning (DL) calcium scoring methods have achieved excellent perfo...

Feb 2020 32043947
Radiomics for classification of bone mineral loss: A machine learning study.

PURPOSE: The purpose of this study was to develop predictive models to classify osteoporosis, osteop...

Feb 2020 32033913
A six‑gene support vector machine classifier contributes to the diagnosis of pediatric septic shock.

Septic shock is induced by an uncontrolled inflammatory immune response to pathogens and the surviva...

Jan 2020 32016447
Phytochemical, Antioxidant and Mitochondrial Permeability Transition Studies on Fruit-Skin Ethanol Extract of .

Uncontrolled cell proliferation hallmarks cancer and most cancer cells have developed multiple resis...

Dec 2019 32089679
Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records.

Machine learning has become ubiquitous and a key technology on mining electronic health records (EHR...

Dec 2019 31891765
Diagnosis of Parathyroid Adenomas with New Ultrasound Imaging Modalities.

Ultrasound technology is becoming an integral part of diagnosing parathyroid adenomas. Careful ultra...

Dec 2019 32025531
Transcriptome analysis and identification of genes associated with chicken sperm storage duration.

The sperm storage tubules located in the mucosal folds of the uterovaginal junction (UVJ) are the pr...

Dec 2019 32036969
Diagnostic and Gradation Model of Osteoporosis Based on Improved Deep U-Net Network.

The measurement of bone mineral density for osteoporosis has always been the focus of researchers be...

Dec 2019 31811448
Metabolic Bone Profile of Healthy Adult North Indian Population from Chandigarh Urban Bone Epidemiological Study (CUBES).

We aimed to estimate metabolic bone profile in a large cohort of healthy, adult Indian population to...

Nov 2019 33505129
The exploration of feature extraction and machine learning for predicting bone density from simple spine X-ray images in a Korean population.

OBJECTIVE: Osteoporosis is hard to detect before it manifests symptoms and complications. In this st...

Nov 2019 31760458
Evaluation of an AI-based, automatic coronary artery calcium scoring software.

OBJECTIVES: To evaluate an artificial intelligence (AI)-based, automatic coronary artery calcium (CA...

Nov 2019 31728692
Coronary artery calcium score quantification using a deep-learning algorithm.

AIM: To investigate the impact of a deep-learning algorithm on the quantification of coronary artery...

Nov 2019 31718789
Motion-corrected coronary calcium scores by a convolutional neural network: a robotic simulating study.

OBJECTIVE: To classify motion-induced blurred images of calcified coronary plaques so as to correct ...

Oct 2019 31630233
Hypervitaminosis D without toxicity.

Vitamin D deficiency is highly prevalent and there are an increasing number of reports of vitamin D ...

Oct 2019 32063764
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