Towards Explainable Conversational AI for Early Diagnosis with Large Language Models

This research focuses on developing explainable conversational AI systems that leverage large language models for early disease diagnosis. It addresses the critical need for transparency and interpretability in AI-driven healthcare, aiming to build trust with users and medical professionals by providing clear justifications for diagnostic suggestions, thereby facilitating better clinical decision-making and patient care. The work explores methods to make complex AI reasoning understandable, which is vital for adoption in sensitive fields like medicine.