Trial Search Results
Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment
The purpose of this study is to understand the effects of using a 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 a diagnosis of the patient's 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.
Stanford is currently not accepting patients for this trial.
- Device: BoneAgeModel
- Patients between the age of 0 and 20 years
- Patients referred to get a hand radiograph taken for skeletal age assessment
- Patients with age greater than 20 years
- Patients not referred to get a hand radiograph taken for skeletal age assessment
Ages Eligible for Study
1 Year - 18 Years
Genders Eligible for Study