AI-Powered Incidentaloma Detection: Evaluating LLMs and Supervised Learning in Multi-Anatomy Analysis
Published:Dec 5, 2025 08:49
•1 min read
•ArXiv
Analysis
This ArXiv paper explores the application of Large Language Models (LLMs) and supervised learning in identifying incidentalomas that necessitate follow-up, a critical task in radiology. The multi-anatomy focus suggests a comprehensive evaluation, potentially impacting clinical workflows.
Key Takeaways
Reference
“The research focuses on the automated identification of incidentalomas that require follow-up.”