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Machine Learning Algorithm

Traditional workflow triage for Chest Diseases

N/A
Waitlist Available
Led By Emily Tsai, MD
Research Sponsored by Stanford University
Eligibility Criteria Checklist
Specific guidelines that determine who can or cannot participate in a clinical trial
Must have
Radiologist at Stanford Hospital and Clinics
Be older than 18 years old
Timeline
Screening 3 weeks
Treatment Varies
Follow Up up to 1 hour
Awards & highlights

Study Summary

This trial aims to compare a machine learning algorithm with traditional methods for prioritizing unread studies in a radiologist's worklist, in order to reduce time to interpretation of abnormal studies.

Eligibility Criteria

Inclusion Criteria

You may be eligible if you check “Yes” for the criteria below

Timeline

Screening ~ 3 weeks
Treatment ~ Varies
Follow Up ~up to 1 hour
This trial's timeline: 3 weeks for screening, Varies for treatment, and up to 1 hour for reporting.

Treatment Details

Study Objectives

Outcome measures can provide a clearer picture of what you can expect from a treatment.
Primary outcome measures
Turnaround time

Trial Design

3Treatment groups
Active Control
Placebo Group
Group I: Traditional workflow triageActive Control3 Interventions
Radiologists follow standard triage of chest radiographs.
Group II: Machine learning workflow triageActive Control3 Interventions
Radiologists follow machine learning triage of chest radiographs.
Group III: Random workflow triagePlacebo Group3 Interventions
Radiologists follow randomly ordered triage of chest radiographs.

Find a Location

Who is running the clinical trial?

Stanford UniversityLead Sponsor
2,387 Previous Clinical Trials
17,334,050 Total Patients Enrolled
Society of Thoracic RadiologyUNKNOWN
1 Previous Clinical Trials
15 Total Patients Enrolled
Emily Tsai, MDPrincipal InvestigatorStanford University

Frequently Asked Questions

These questions and answers are submitted by anonymous patients, and have not been verified by our internal team.
Recent research and studies
clinicaltrials.govStudy
Clinical Validation of Machine Learning Triage of Chest Radiographs
Emily Tsai 2022. "Clinical Validation of Machine Learning Triage of Chest Radiographs". ClinicalTrials.gov. https://clinicaltrials.gov/ct2/show/NCT05224479.
~0 spots leftby Apr 2025
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