A Survey on AI-Based Medical Chatbot

Abstract: The integration of Artificial Intelligence (AI) in healthcare has made significant advancements in medical consultations, disease detection, and on-demand doctor recommendations. AI chatbots in the medical field have become crucial for boosting the standards of patient care. This development is due to the breakthroughs in Natural Language Processing (NLP), Optical Character Recognition (OCR), and Machine Learning (ML). However, most systems are limited by their ability to scale, accuracy, and real-time support responsiveness. This paper reviews a wide range of AI-powered medical chatbots and evaluates their capabilities. It then puts forward a unique design for an AI medical chatbot that incorporates NLP, OCR, and real-time doctor recommendations so that it can assess medical reports, respond to questions, and provide details of healthcare facilities with consultative services. The new system surpasses the existing chatbots by enhanced scalability and accurate medical information as well as reliable, real-time tailored recommendations. The focus of this paper is to compare the proposed system with the existing solutions while demonstrating it as a more advanced comprehensive healthcare assistant. Focus is also provided on the findings to showcase the promise in transforming medical assistance to patients and professionals in terms of responsiveness and efficiency

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-14
DOI
https://doi.org/10.22214/ijraset.2025.70700
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

A Survey on AI-Based Medical Chatbot

Juliet Johny
International Journal for Research in Applied Science and Engineering Technology
AI in Service Interactions
article

A Survey on AI-Based Medical Chatbot

Juliet Johny
article en

Abstract

Abstract: The integration of Artificial Intelligence (AI) in healthcare has made significant advancements in medical consultations, disease detection, and on-demand doctor recommendations. AI chatbots in the medical field have become crucial for boosting the standards of patient care. This development is due to the breakthroughs in Natural Language Processing (NLP), Optical Character Recognition (OCR), and Machine Learning (ML). However, most systems are limited by their ability to scale, accuracy, and real-time support responsiveness. This paper reviews a wide range of AI-powered medical chatbots and evaluates their capabilities. It then puts forward a unique design for an AI medical chatbot that incorporates NLP, OCR, and real-time doctor recommendations so that it can assess medical reports, respond to questions, and provide details of healthcare facilities with consultative services. The new system surpasses the existing chatbots by enhanced scalability and accurate medical information as well as reliable, real-time tailored recommendations. The focus of this paper is to compare the proposed system with the existing solutions while demonstrating it as a more advanced comprehensive healthcare assistant. Focus is also provided on the findings to showcase the promise in transforming medical assistance to patients and professionals in terms of responsiveness and efficiency

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Bangalore Medical College and Research Institute (IN)
Openalex Percentile: Top 95%
AI in Service Interactions
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