Visiana helps radiology departments achieve automation through machine learning and medical imaging technologies.

A routine task in radiology is the examination and interpretation of hand X-rays to determine the skeletal maturity (i.e. bone age) of a child or the bone health. This is a time-consuming task, prone to considerable inter- and intra-rater variability. Our main product, BoneXpert replaces the cumbersome use of a radiographic atlas with an automated and quantitative solution.
BoneXpert, is a vendor-neutral CAD technology that measures bone age and bone health measurement. BoneXpert is integrated with PACS for an optimal workflow and improves the accuracy of these measurements while saving radiographers’ and radiologists’ time and providing results and interpretation to the requesting clinician immediately after the X-ray is recorded.

BoneXpert measures
- the bone age, expressing the skeletal maturity 
- the Bone Health Index (BHI), expressing the bone mass in the metacarpals
- standard deviation scores from modern reference data

Bone age is used by paediatric endocrinologists to assess the growth and maturation of children and adolescents. Bone age is an important diagnostic finding in determining growth hormone deficiency, requiring expensive long-term hormone replacement therapy. Other conditions include early or late puberty due to various other disorders such as precocious puberty, Congenital Adrenal Hyperplasia (CAH), Turner syndrome and Klinefelter syndrome.

Bone age is often utilised for adult height prediction. We have developed a new method which outperforms the traditional methods from the 1950s, freely accessible at www.BoneXpert.com/ahp.

AI/ML

Health Care

Visiana

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