Please assess the completion status of the following clinical trial:

Trial Title: Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment

Study Design Characteristics:
- Allocation: RANDOMIZED
- Intervention Model: PARALLEL
- Observational Model: None
- Primary Purpose: DIAGNOSTIC
- Time Perspective: None
- Masking: NONE
- Phase: None
- Number of Arms: 2.0

Eligibility Criteria:
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.

- Gender: ALL
- Minimum Age: None
- Maximum Age: None
- Healthy Volunteers: f

Study Arms:
- Control (Without-AI) (Type: NO_INTERVENTION): This is the control arm where no intervention is provided; represents current standard of care.
- Experiment (With-AI) (Type: EXPERIMENTAL): This is the experiment arm where the intervention, BoneAgeModel, is provided. The participating radiologists in this arm will receive the output of the Artificial Intelligence algorithm. They will be asked to incorporate this new information with their normal workflows to make a diagnosis. The radiologists' diagnosis will be considered final.

Based on this trial design, predict the completion outcome and termination type (if applicable).