Endocrinology

Osteoporosis

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

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Robotic Actuation-Mediated Quantitative Mechanogenetics for Noninvasive and On-Demand Cancer Therapy.

Cell mechanotransduction signals are important targets for physical therapy. However, current physio...

Artificial intelligence insights into osteoporosis: assessing ChatGPT's information quality and readability.

UNLABELLED: Accessible, accurate information, and readability play crucial role in empowering indivi...

Automatic thoracic aorta calcium quantification using deep learning in non-contrast ECG-gated CT images.

Thoracic aorta calcium (TAC) can be assessed from cardiac computed tomography (CT) studies to improv...

End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging.

Deep learning is a powerful tool for neural decoding, broadly applied to systems neuroscience and cl...

AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging.

BACKGROUND: Computed tomography attenuation correction (CTAC) improves perfusion quantification of h...

Deep learning-based harmonization of trabecular bone microstructures between high- and low-resolution CT imaging.

BACKGROUND: Osteoporosis is a bone disease related to increased bone loss and fracture-risk. The var...

Effect of robotic gait training on muscle and bone characteristics in spinal cord transected rats.

Osteoporosis and loss of muscle mass are secondary issues with spinal cord injury. Robotic gait trai...

Performance of Progressive Generations of GPT on an Exam Designed for Certifying Physicians as Certified Clinical Densitometrists.

BACKGROUND: Artificial intelligence (AI) large language models (LLMs) such as ChatGPT have demonstra...

A New Machine Learning Approach for Actual Calcium Measurement.

Ionized calcium is a better measure but still many healthcare setups use total calcium to determine ...

[Development of prognostic clinical and genetic models of the risk of low bone mineral density using neural network training].

BACKGROUND: Osteoporosis is a common age-related disease with disabling consequences, the early diag...

Application of radiomics model based on lumbar computed tomography in diagnosis of elderly osteoporosis.

A metabolic bone disease characterized by decreased bone formation and increased bone resorption is ...

Study on the Effect of Low Calcium Dialysate on Biochemical Profile of Adynamic Bone Disease in Patients on Maintenance Hemodialysis.

In recent years, adynamic bone disease (ABD) has become a common skeletal lesion in adult patients w...

Artificial Intelligence-enabled Chest X-ray Classifies Osteoporosis and Identifies Mortality Risk.

A deep learning model was developed to identify osteoporosis from chest X-ray (CXR) features with hi...

Effect of Zoledronic Acid in Hepatic Osteodystrophy: A Double-Blinded Placebo-Controlled Trial.

PURPOSE: Literature on the treatment of pre-transplant hepatic osteodystrophy (HOD) is limited. The ...

Identification of mitophagy-related biomarkers in human osteoporosis based on a machine learning model.

Osteoporosis (OP) is a chronic bone metabolic disease and a serious global public health problem. S...

Evaluation of deep learning-based quantitative computed tomography for opportunistic osteoporosis screening.

To evaluate diagnostic efficacy of deep learning (DL)-based automated bone mineral density (BMD) mea...

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