Advanced Medical Question and Answering Chatbot Powered by Llama-2 For Precis Health Answer

LLaMA-2 model, which is known for having the best capabilities in natural language processing at the core of our system. With respect to symptom diagnosis, it ranked among the most accurate in being able to give the chances of as many conditions possible as per the information that it receives from the user. Creating custom responses to unique user queries all the time, which may potentially increase user satisfaction and engagement. We have tested and perfected our chatbot to ensure that the capabilities stood out at a level of accuracy as high as 85 percent-showing outstanding care in the matters of healthcare assistance issues under numerous medical topics. Our work adds advanced features with the improvement techniques to the conventional medical Q and A chatbot. The new deep learning chatbot is not only great for symptom diagnosis but also uses its capabilities to provide context-aware responses based on user health history, lifestyles, and preferences with adjustment of its advice for a more personal healthcare experience.

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Publication Details

Published
2025-02-06
DOI
https://doi.org/10.1109/cictn64563.2025.10932365
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
2.48
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article

Advanced Medical Question and Answering Chatbot Powered by Llama-2 For Precis Health Answer

Jagdish Chandra Patni, Kamal Kant Verma, B M Poornima, K. Chitra et al.
1 citations
AI in Service Interactions
2.48
article

Advanced Medical Question and Answering Chatbot Powered by Llama-2 For Precis Health Answer

Jagdish Chandra Patni, Kamal Kant Verma, B M Poornima, K. Chitra, S B Anup, Swetha, B P Raviprakash
article en
1 citations

Abstract

LLaMA-2 model, which is known for having the best capabilities in natural language processing at the core of our system. With respect to symptom diagnosis, it ranked among the most accurate in being able to give the chances of as many conditions possible as per the information that it receives from the user. Creating custom responses to unique user queries all the time, which may potentially increase user satisfaction and engagement. We have tested and perfected our chatbot to ensure that the capabilities stood out at a level of accuracy as high as 85 percent-showing outstanding care in the matters of healthcare assistance issues under numerous medical topics. Our work adds advanced features with the improvement techniques to the conventional medical Q and A chatbot. The new deep learning chatbot is not only great for symptom diagnosis but also uses its capabilities to provide context-aware responses based on user health history, lifestyles, and preferences with adjustment of its advice for a more personal healthcare experience.

Alliance University (IN), IILM Institute for Higher Education (IN)
Openalex Percentile: Top 11%
AI in Service Interactions
2.48
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Advanced Medical Question and Answering Chatbot Powered by Llama-2 For Precis Health Answer — Jagdish Chandra Patni, Kamal Kant Verma, et al. · (2025) | TGRS Research Map | TGRS