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cs.CL2025

An LLM-Powered Agent for Physiological Data Analysis: A Case Study on PPG-based Heart Rate Estimation

Mohammad Feli, Iman Azimi, Pasi Liljeberg +1

Large language models (LLMs) are revolutionizing healthcare by improving diagnosis, patient care, and decision support through interactive communication. More recently, they have b…

cs.CL2025

Building Trust in Mental Health Chatbots: Safety Metrics and LLM-Based Evaluation Tools

Jung In Park, Mahyar Abbasian, Iman Azimi +11

Objective: This study aims to develop and validate an evaluation framework to ensure the safety and reliability of mental health chatbots, which are increasingly popular due to the…

cs.CL2024

Conversational Health Agents: A Personalized LLM-Powered Agent Framework

Mahyar Abbasian, Iman Azimi, Amir M. Rahmani +1

Conversational Health Agents (CHAs) are interactive systems that provide healthcare services, such as assistance and diagnosis. Current CHAs, especially those utilizing Large Langu…

cs.CL2024

Accuracy and Consistency of LLMs in the Registered Dietitian Exam: The Impact of Prompt Engineering and Knowledge Retrieval

Iman Azimi, Mohan Qi, Li Wang +2

Large language models (LLMs) are fundamentally transforming human-facing applications in the health and well-being domains: boosting patient engagement, accelerating clinical decis…

cs.CL2024

Empathy Through Multimodality in Conversational Interfaces

Mahyar Abbasian, Iman Azimi, Mohammad Feli +2

Agents represent one of the most emerging applications of Large Language Models (LLMs) and Generative AI, with their effectiveness hinging on multimodal capabilities to navigate co…