International Journal of Multidisciplinary and Scientific
Emerging Research (IJMSERH)

|Peer Reviewed, Refereed & Open Access Journal | Follows UGC CARE Journal Norms and Guidelines|

|ISSN 2349-6037|Approved by ISSN, NSL & NISCAIR| Impact Factor: 9.274 |ESTD:2013|

|Scholarly Open Access Journal, Peer-Reviewed, and Refereed Journals, Impact factor 9.274 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Multidisciplinary, Quarterly, Citation Generator, Digital Object Identifier(DOI)|

Article

TITLE AI Healthcare Chatbots
ABSTRACT Healthcare is essential for a good life. However, getting a doctor's appointment for every health issue can be challenging. This paper proposes creating a medical chatbot powered by Artificial Intelligence that can diagnose diseases and provide basic information before a doctor consultation. This approach aims to lower healthcare costs and increase access to medical information. Chatbots are computer programs that communicate with users in natural language. The chatbot records data in a database to identify keywords in user queries, enabling it to formulate responses.The increasing demand for accessible and efficient healthcare services has encouraged the adoption of artificial intelligence–based solutions in the medical domain. This research paper proposes an AI-powered healthcare chatbot designed to assist users by providing preliminary medical guidance through natural language interaction. The chatbot processes user inputs related to symptoms and health concerns using natural language processing techniques and intelligent decision-making algorithms to generate appropriate responses. It offers basic health recommendations, symptom analysis, and guidance on seeking professional medical care when necessary. The system aims to reduce unnecessary hospital visits, improve patient engagement, and support healthcare professionals by handling routine inquiries. The chatbot is implemented as a web-based application, ensuring ease of use, scalability, and continuous availability. While the proposed system does not replace clinical diagnosis, it acts as a supportive tool for early health assessment and awareness. The study highlights the effectiveness of AI-driven chatbots in enhancing healthcare accessibility and improving the efficiency of healthcare service delivery.
AUTHOR Vijaya Sambhaji Gawade, Geetika Ravindra Haldankar, Chandana Mandra Juvekar, Mhadgut Student, Dept. of Computer Engineering, Yashwantrao Bhonsale Institute of Technology, Sawantwadi, Maharashtra, India Faculty, Dept. of Computer Engineering, Yashwantrao Bhonsale Institute of Technology, Sawantwadi, Maharashtra, India
PUBLICATION DATE 2026-01-22 10:54:53
VOLUME 14
ISSUE 1
DOI DOI: 10.15662/IJMSERH.2026.1401003
PDF pdf/2026/1/3_AI Healthcare Chatboat.pdf
KEYWORDS
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