clinical study

The Effect of Artificial Intelligence-Based Intracranial Hemorrhage Detection on Study Turnaround Time for Emergent Care Non- Contrast Head CT – A Prospective Randomized Clinical Trial

Materials & Methods

A total of 1,936 consecutive non-contrast head CT scans from two CT scanners used for inpatient and emergency room patients at a large academic hospital were prospectively acquired over a time period of 47 consecutive days. Study turnaround time (TAT) was measured automatically as the time difference between study completion time (=study accessible to radiologists for reporting) to study reporting time (=first report visible to clinicians, regardless of whether preliminary or final).

Results

A total of 381 ICH-AI+ cases were found, of which 190 cases were flagged. TATs for flagged cases (52 ± 25 min.) were significantly lower than TATs for non-flagged (82 ± 31 min.) cases (p<0.05, Wilcoxon signed-rank test). 

Conclusions

Notifying radiologists on automatically detected ICH statistically significantly reduces TAT for reporting ICH to clinicians in emergency setting. Reduced TAT may expedite clinically indicated therapeutic interventions.

Read Study

Aidoc Ask the Experts Webinar

Popular Posts

Article
Three Myths About Healthcare AI Disassembled
Article
The Needle and the Damage: AI as Actionable Intelligence
Article
EHR and Imaging AI Integration: Decision Support Beyond Pixel Analysis
Article
AI for Abdominal Aortic Aneurysm: Creating a Tech-Enabled Practice

Subscribe to our Blog

Follow us on social

From Our Blog

View all

© Copyright 2023 Aidoc