Education and Training
Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment
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.
Stanford is currently not accepting patients for this trial.
Stanford Investigator(s):
Intervention(s):
- device: BoneAgeModel
Eligibility
Exams that meet the following inclusion criteria will be included: (1) exams read by
radiologists who interpret pediatric skeletal age exams and verbally consent to participate
(2) exams that contain a procedure code or study description indicative of a skeletal age
exam.
Exams containing more than one radiograph will not be included. Exams for which a trainee
provides a preliminary interpretation will be excluded. No further exclusion criteria will
be applied on the basis of image quality metrics or manufacturers. No exclusion criteria
will be applied on the basis of patient chronological age.
Ages Eligible for Study
N/A - N/A
Genders Eligible for Study
All
Not currently accepting new patients for this trial
Contact Information
Stanford University
School of Medicine
300 Pasteur Drive
Stanford,
CA
94305
Safwan Halabi, M.D.
(650) 721-2850
Not Recruiting