Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment
Completed · Not applicable
Conditions studied: Bone Age
In brief
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.
Key facts
- Study ID
- NCT03530098
- Run by
- Stanford University
- People needed
- 1903
- Starts
- 2018-07-12
- Expected to finish
- 2019-08-31
- Last updated by the study team
- 2021-06-09
Who can join
Age: any. Sex: any. Healthy volunteers: not accepted.
Where it is running
- Stanford University — Stanford, California, United States
- Yale New Haven Hospital — New Haven, Connecticut, United States
- Boston Children's Hospital — Boston, Massachusetts, United States
- New York University — New York, New York, United States
- Cincinnati Children's Hospital Medical Center — Cincinnati, Ohio, United States
- Children's Hospital of Philadelphia — Philadelphia, Pennsylvania, United States
Full record on ClinicalTrials.gov
Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.