View clinical trials related to Bone Age.
Filter by:The purpose of this study is to understand the effects of using an Artificial Intelligence algorithm for skeletal age estimation as a computer-aided diagnosis (CADx) system. In this prospective real-time study, the investigators will send de-identified hand radiographs to the Artificial Intelligence algorithm and surface the output of this algorithm to the radiologist, who will incorporate this information with their normal workflows to make an estimation of the bone age. All radiologists involved in the study will be trained to recognize the surfaced prediction to be the output of the Artificial Intelligence algorithm. The radiologists' diagnosis will be final and considered independent to the output of the algorithm.
Bone age assessment is currently an important tool in final height implication in children. It is an important tool in the phases of investigation and treatment of short stature, tall stature, pubertal timing and various endocrinological pediatric situations. It is currently assessed using hand x-ray. This method has several limitations, including: requirement of specialized medical staff to interpret results, exposure radiation and usage of equipment which is only in radiology centers. The investigators aim to study a new equipment, radiation free, with simple and swift operation which provides an immediate answer, no need for an experienced observer, a mobile equipment with easy accessibility. The aim of the study is to assess its reproducibility, validity and safety compared to the x-ray method. The investigators hypothesize it is as accurate and valid.