AI Assisted Triage for Clinical Decision Making in Hematology Oncology

An advanced AI system that combines Generative AI with rule-based approaches to replicate the comprehensive triage system used in classical hematology oncology clinical settings.

This project aims to assist healthcare professionals in making faster, more accurate clinical decisions by automating the triage process while maintaining the rigor and safety standards of traditional medical protocols.

Status: Pending Publication

Technologies: Large Language Models, Rule-Based Systems, Clinical Protocols, Python

Key Features:

• End-to-end automated triage pipeline
• Integration of LLM reasoning with established clinical rules
• Designed for hematology oncology workflows

Affiliation: Mayo Clinic & Arizona State University