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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM44368
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
With the increasing integration of artificial intelligence in healthcare, medical chatbots have emerged as promising tools for improving access to medical services and reducing operational costs [1][2]. This research presents the development and evaluation of an AI-powered medical chatbot designed to assist users in identifying possible health conditions based on their reported symptoms. The system engages patients through natural conversation, extracting relevant health indicators to deliver a personalized diagnosis. In testing, the chatbot achieved a symptom identification precision of 65%, with a recall of 65% and a diagnosis precision of 71%. These results indicate the chatbot’s potential to provide reasonably accurate diagnostic suggestions using conversational symptom analysis. While not a replacement for professional medical consultation, the tool demonstrates the feasibility of implementing intelligent, automated solutions in initial healthcare support. This study highlights the broader implications of deploying conversational AI in medical contexts and sets the groundwork for further advancements in digital health technologies.
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Publication Date
4/13/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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