INFORM-CT: AI-Powered Incidental Findings Management in Abdominal CT Scans

This research explores the application of Large Language Models (LLMs) and Vision-Language Models (VLMs) for managing incidental findings in abdominal CT scans. The study's focus on practical application in medical imaging makes it a potentially impactful contribution to healthcare.

• •Addresses the challenge of managing incidental findings in medical imaging.
• •Combines LLMs and VLMs for a specific medical application.
• •Potentially improves efficiency and accuracy in CT scan interpretation.