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20232026
most citedChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework

115 citations · 183 across the 18 of their papers we have counts for

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7 papers · 1 filter

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.CL2024★ 2 cited

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★ 4 cited

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★ 3 cited

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…

cs.CL2024★ 4 cited

Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients

Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi +5

Effective diabetes management is crucial for maintaining health in diabetic patients. Large Language Models (LLMs) have opened new avenues for diabetes management, facilitating the…

cs.CL2023★ 29 cited

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.CL2023

Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AI

Mahyar Abbasian, Elahe Khatibi, Iman Azimi +11

Generative Artificial Intelligence is set to revolutionize healthcare delivery by transforming traditional patient care into a more personalized, efficient, and proactive process.…