©2024 Stanford Medicine
Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment
Not Recruiting
Trial ID: NCT03530098
Purpose
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.
Official Title
Prospective, Multi-Center, Randomized Controlled Trial for Skeletal Age Assessment AI Model
Stanford Investigator(s)
Curtis Langlotz
Professor of Radiology (Thoracic Imaging), of Biomedical Informatics Research, of Biomedical Data Science and Senior Fellow at the Stanford Institute for HAI
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.
Intervention(s):
device: BoneAgeModel
Not Recruiting
Contact Information
Stanford University
School of Medicine
300 Pasteur Drive
Stanford,
CA
94305
Safwan Halabi, M.D.
(650) 721-2850