AIMC Topic: Bone Density

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Deep learning in the radiologic diagnosis of osteoporosis: a literature review.

The Journal of international medical research
OBJECTIVE: Osteoporosis is a systemic bone disease characterized by low bone mass, damaged bone microstructure, increased bone fragility, and susceptibility to fractures. With the rapid development of artificial intelligence, a series of studies have...

BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans.

Health informatics journal
To develop and test an NLP algorithm that accurately detects the presence of information reported from DXA scans containing femoral neck T-scores of the patients scanned. A rule-based NLP algorithm that iteratively built a collection of regular exp...

Augmenting Osteoporosis Imaging with Machine Learning.

Current osteoporosis reports
PURPOSE OF REVIEW: In this paper, we discuss how recent advancements in image processing and machine learning (ML) are shaping a new and exciting era for the osteoporosis imaging field. With this paper, we want to give the reader a basic exposure to ...

Utilizing Artificial Intelligence to Determine Bone Mineral Density Via Chest Computed Tomography.

Journal of thoracic imaging
PURPOSE: The purpose of this study was to validate the accuracy of an artificial intelligence (AI) prototype application in determining bone mineral density (BMD) from chest computed tomography (CT), as compared with dual-energy x-ray absorptiometry ...

Diagnosis of Osteoporosis using modified U-net architecture with attention unit in DEXA and X-ray images.

Journal of X-ray science and technology
BACKGROUND: Osteoporosis, a silent killing disease of fracture risk, is normally determined based on the bone mineral density (BMD) and T-score values measured in bone. However, development of standard algorithms for accurate segmentation and BMD mea...

Artificial intelligence, osteoporosis and fragility fractures.

Current opinion in rheumatology
PURPOSE OF REVIEW: Artificial intelligence tools have found new applications in medical diagnosis. These tools have the potential to capture underlying trends and patterns, otherwise impossible with previous modeling capabilities. Machine learning an...

Effect of hypoparathyroid on bone mineral density of lumber spine in postmenopausal women with differentiated thyroid cancinoma.

Hellenic journal of nuclear medicine
OBJECTIVE: To investigate the effect of hypoparathyroid on bone mineral density in postmenopausal women with differentiated thyroid carcinoma (DTC).

Assessing the association between 25-OH vitamin D levels and ROMA score in a population of obese women.

Journal of biological regulators and homeostatic agents
The “Risk of Malignancy Algorithm” (ROMA) combines the diagnostic power of the CA125 and HE4 markers with menopausal status to predict the risk for developing epithelial ovarian cancer (EOC). The aim of this study was to evaluate the association betw...

Relation of Age, Sex and Bone Mineral Density to Serum 25-Hydroxyvitamin D Levels in Chinese Women and Men.

Orthopaedic surgery
OBJECTIVE: To investigate the relation of circulating 25-hydroxyvitamin D (25[OH]D) levels to age, sex, and bone mineral density (BMD) in adults living in Guangzhou Province.

BONE MINERAL DENSITY IN CHILDREN WITH IDIOPATHIC HYPERCALCIURIA.

Developmental period medicine
UNLABELLED: The aim of the study was to evaluate bone mineral density (BMD) in the lumbar spine in children with idiopathic hypercalciuria.