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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21574
Article Published : 8528
Total Authors : 22430
Total Reviewer : 805
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| Paper Title: | LEVARAGING AI CHATBOTS IN MEDICAL ASSISTANCE: A TRANSFORMATIVE APPROACH TO HEALTHCARE DELIVERY” |
| Authors Name: | K Sabari Krishna , T Roshini |
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IJRTI_207540
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| Published Paper Id: | IJRTI2511078 |
| Published In: | Volume 10 Issue 11, November-2025 |
| DOI: | |
| Abstract: | Conversationally designed automated medical Chatbots present a valuable opportunity to improve healthcare access and lower costs. These bots use advanced technology to engage with patients, offering tailored health insights and diagnoses based on their input. Even with the increasing interest in automated medical solutions, there remains a notable gap in accurately identifying symptoms and providing diagnoses through Chatbot. Many current systems find it challenging to offer dependable healthcare advice, which can result in misdiagnoses and a loss of patient trust. To address this challenge, we created a medical analysis bot that interacts with sick individuals about their health issues. Our chatbot employs basic symptom analysis to deliver personalized diagnoses, achieving an average symptom identification precision of 65%. With a reminisce rate of 65% and a precision of 71% for diagnosed symptoms, the analysis aids patients in better understanding their health conditions, setting the stage for further medical evaluation. The encouraging results from our chatbot suggest its potential as a trustworthy resource in healthcare. As technology advances, we anticipate the development of more advanced automated medical devices that can improve the efficiency of healthcare delivery. This progression could lead to better patient outcomes and a more cohesive approach to health management in the future. |
| Keywords: | Interactive bot, AI medical advisor, AI health advisor(chatbot),Language understanding technology, User-machine interface and bot. |
| Cite Article: | "LEVARAGING AI CHATBOTS IN MEDICAL ASSISTANCE: A TRANSFORMATIVE APPROACH TO HEALTHCARE DELIVERY”", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a650-a667, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511078.pdf |
| Downloads: | 000258 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2511078
Registration ID:207540
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: a650-a667 Country: BENGALURU, Karnataka, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511078 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511078 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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