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 accepting patients for this trial.

Lead Sponsor:

Stanford University

Stanford Investigator(s):

Intervention(s):

  • Device: BoneAgeModel

Phase:

N/A

Eligibility


Inclusion Criteria:

   - Patients between the age of 1 years and 18 years

   - Patients referred to get a hand radiograph taken for skeletal age assessment

Exclusion Criteria:

   - Patients with age less than 1 year or greater than 18 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

All

Now accepting new patients

Contact Information

Stanford University
School of Medicine
300 Pasteur Drive
Stanford, CA 94305
Safwan Halabi, M.D.
(650) 721-2850
Not Recruiting