Osteoporosis

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

OBJECTIVES: To evaluate an artificial intelligence (AI)-based, automatic coronary artery calcium (CAC) scoring software, using a semi-automatic software as a reference.

Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm.

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 calcium score (CACS) and the stratification of ca...

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 coronary calcium scores on nontriggered chest CT, ...

Hypervitaminosis D without toxicity.

Vitamin D deficiency is highly prevalent and there are an increasing number of reports of vitamin D toxicity, mostly related to the misuse of over-the...

Assessment of Quality of Life in Postmenopausal Women with Early Breast Cancer Participating in the PACT Trial: The Impact of Additional Patient Information Material Packages and Patient Compliance.

BACKGROUND: Breast cancer patients' self-understanding of their disease can impact their quality of life (QoL); the relationship between compliance an...

Machine learning based risk prediction model for asymptomatic individuals who underwent coronary artery calcium score: Comparison with traditional risk prediction approaches.

BACKGROUND: Machine learning (ML) is a computer algorithm used to identify patterns for prediction in various tasks, and ML methods have been benefici...

Artificial neural network to estimate micro-architectural properties of cortical bone using ultrasonic attenuation: A 2-D numerical study.

The goal of this study is to estimate micro-architectural parameters of cortical porosity such as pore diameter (φ), pore density (ρ) and porosity (ν)...

Identification of Vertebral Fractures by Convolutional Neural Networks to Predict Nonvertebral and Hip Fractures: A Registry-based Cohort Study of Dual X-ray Absorptiometry.

Background Detection of vertebral fractures (VFs) aids in management of osteoporosis and targeting of fracture prevention therapies. Purpose To determ...

Nutritional, biochemical and microbiological composition of Mart. sap in Burkina Faso.

The palmyra palm Mart. grow wild and gives natural stands in several localities of central-eastern and eastern regions of Burkina Faso. This work aim...

Prediction model development of late-onset preeclampsia using machine learning-based methods.

Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality. Due to the lack of effective preventive measures, its predict...

Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry.

OBJECTIVES: This study was conducted to investigate the influence of coronary artery calcium (CAC) score on the diagnostic performance of machine-lear...

Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An ex Vivo Study.

Background Visual and histogram-based assessments of coronary CT angiography have limited accuracy in the identification of advanced lesions. Radiomic...

Microwave dielectric property based classification of renal calculi: Application of a kNN algorithm.

The proper management of renal lithiasis presents a challenge, with the recurrence rate of the disease being as high as 46%. To prevent recurrence, th...

A machine-learning approach to calibrate generic Raman models for real-time monitoring of cell culture processes.

The manufacture of biotherapeutic proteins consists of complex upstream unit operations requiring multiple raw materials, analytical techniques, and c...

Screening and Assessment of Bone Health in Indian Women Using an Indigenous ELISA of Human Osteocalcin a Bone Turnover Marker.

Osteoporosis a major public health problem of the elderly, is associated with substantial morbidity and socio economic burden. The aim of the study wa...

Artificial neural network optimizes self-examination of osteoporosis risk in women.

OBJECTIVE: This study aimed to investigate the application of an artificial neural network (ANN) in optimizing the Osteoporosis Self-Assessment Tool f...

SOCIETY FOR ENDOCRINOLOGY EMERGENCY ENDOCRINE GUIDANCE: Emergency management of acute hypocalcaemia in adult patients.

In this addendum to the above paper, the Society for Endocrinology Clinical Committee and the original authors provide additional advice on the dose e...

Prediction of the five-day biochemical oxygen demand and chemical oxygen demand in natural streams using machine learning methods.

Rivers, as the most prominent component of water resources, have a key role to play in increasing the life expectancy of living creatures. The essenti...

High-Sensitivity Determination of Nutrient Elements in by Laser-induced Breakdown Spectroscopy and Chemometric Methods.

High-accuracy and fast detection of nutritive elements in traditional Chinese medicine (PN) is beneficial for providing useful assessment of the heal...