Conversational AI in Healthcare: A Study on Chatbot Applications for Medical Assistance

Ravikant Pandey

Title:
Conversational AI in Healthcare: A Study on Chatbot Applications for Medical Assistance

Authors:
Ravikant Pandey

Cite This Article :

Ravikant Pandey "Conversational AI in Healthcare: A Study on Chatbot Applications for Medical Assistance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025, pp.950-954, URL: https://www.ijtsrd.com/papers/ijtsrd79712.pdf

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Abstract :
Intelligent solutions that improve patient involvement and enable initial medical support have been developed as a result of the integration of artificial intelligence (AI) in healthcare. In order to help users with symptom analysis, disease prediction, and healthcare suggestions, this study introduces an AI-Driven Smart Healthcare Chatbot. To assess user-inputted symptoms, compare them to a comprehensive medical knowledge base, and deliver real-time health insights, the chatbot makes use of cloud-based databases, machine learning, and natural language processing (NLP). By taking into account the patient's history, risk factors, and lifestyle choices, the chatbot provides tailored advice in contrast to conventional symptom-checker apps. The Google Maps API-integrated hospital and doctor locator is another function that helps users locate local medical facilities for additional consultation. In the event that critical symptoms arise, the chatbot's emergency alert system will notify pre-designated contacts.

Keywords :
AI Healthcare Chatbot, Symptom Analysis, Disease Prediction, Natural Language Processing (NLP), Machine Learning (ML), Telemedicine, Digital Health.

Publication Details:

Unique Identification Number : IJTSRD79712

Published In : Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025

Page Number(s) : 950-954

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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