Papers by Kyle Tegtmeyer

2 papers
CPTCoder: A Reliable LLM System for Medical Procedure Code Prediction (2026.acl-demo)

Copied to clipboard

Challenge: Clinical procedure coding is an extreme multi-label classification problem . CPTCoder predicts standardized medical procedure codes from clinical text .
Approach: a new human-in-the-loop system predicts standardized medical procedure codes from clinical text.
Outcome: CPTCoder outperforms baseline system by 12 and 5 points in a clinical procedure classification problem.
MedTutor: A Retrieval-Augmented LLM System for Case-Based Medical Education (2025.emnlp-demos)

Copied to clipboard

Challenge: Existing educational tools for medical residents are time-consuming and inconsistent.
Approach: They propose a system that generates educational content and multiple-choice questions from clinical case reports and a pipeline that takes clinical case report input and produces targeted educational materials.
Outcome: The system generates educational content and multiple-choice questions from clinical case reports and synergizes with local knowledge base to ensure it is foundationally sound and current.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations