Clinical Research Directory

Machine Learning-Based Risk Stratification for Fistula Formation After Perianal Abscess Drainage

Sponsor: Gumushane State Hospital

Summary

This prospective cohort study investigates the influence of provider experience and drainage location on fistula formation within 6 months following perianal abscess drainage. Additionally, the study explores the role of artificial intelligence (AI)-based interpretation of magnetic resonance (MR) images in early identification of fistula development.

Official title: A Prospective Cohort Study for Machine Learning-Based Prediction of Anal Fistula Formation After Perianal Abscess Drainage Based on Drainage Setting, Provider Experience, and MRI Interpretation (PRISM)

Key Details

Conditions