AI-Based Healthcare Chatbot for Intelligent Medical Assistance Using Machine Learning and Natural Language Processing

Artificial Intelligence (AI) is transforming healthcare by providing intelligent solutions for early diagnosis and medical assistance. This research presents an AI-based healthcare chatbot designed to assist users in symptom analysis, disease prediction, and healthcare recommendations. The proposed system uses Machine Learning and Natural Language Processing techniques to understand user input and provide accurate medical responses. The chatbot analyzes symptoms, predicts possible diseases, and suggests precautions and treatment recommendations. This system helps reduce hospital workload, improves healthcare accessibility, and provides 24/7 intelligent assistance. The experimental results show improved prediction accuracy and efficient healthcare assistance.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-31
DOI
https://doi.org/10.5281/zenodo.19345323
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Based Healthcare Chatbot for Intelligent Medical Assistance Using Machine Learning and Natural Language Processing

Shivateja Kommu, Saikumar Chilla, Rahul B
Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

AI-Based Healthcare Chatbot for Intelligent Medical Assistance Using Machine Learning and Natural Language Processing

Shivateja Kommu, Saikumar Chilla, Rahul B
article en

Abstract

Artificial Intelligence (AI) is transforming healthcare by providing intelligent solutions for early diagnosis and medical assistance. This research presents an AI-based healthcare chatbot designed to assist users in symptom analysis, disease prediction, and healthcare recommendations. The proposed system uses Machine Learning and Natural Language Processing techniques to understand user input and provide accurate medical responses. The chatbot analyzes symptoms, predicts possible diseases, and suggests precautions and treatment recommendations. This system helps reduce hospital workload, improves healthcare accessibility, and provides 24/7 intelligent assistance. The experimental results show improved prediction accuracy and efficient healthcare assistance.

Zenodo (CERN European Organization for Nuclear Research)
Methodist University (US)
Openalex Percentile: Top 6%
AI in Service Interactions
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AI-Based Healthcare Chatbot for Intelligent Medical Assistance Using Machine Learning and Natural Language Processing — Shivateja Kommu, Saikumar Chilla, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS