International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Medical Chatbot in Artificial Intelligence and Machine Learning to Help Human

Aaysha InamdarDept. of Information Technology Engineering, SCOE, Savitribai Phule Pune University, Pune, Maharashtra, IndiaMohit PandeyDept. of Information Technology Engineering, SCOE, Savitribai Phule Pune University, Pune, Maharashtra, IndiaSonali GhorpadeDept. of Information Technology Engineering, SCOE, Savitribai Phule Pune University, Pune, Maharashtra, IndiaPrajakta DawariDept. of Information Technology Engineering, SCOE, Savitribai Phule Pune University, Pune, Maharashtra, IndiaProf. Rashmi kulkarniDept. of Information Technology Engineering, SCOE, Savitribai Phule Pune University, Pune, Maharashtra, IndiaProf. Kalyani kadamDept. of Information Technology Engineering, SCOE, Savitribai Phule Pune University, Pune, Maharashtra, India

Vol 7 No (2023): Volume 7, Special Issue of ICRTET- 2023 | Pages: 191-192

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 16-07-2023

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Abstract

A medical chatbot that leverages artificial intelligence and natural language processing provides personalized and interactive healthcare services. A medical chatbot can interact with users in a conversational manner, simulating human-like interactions through text-based or voice-based conversations. It employs advanced algorithms to analyze user input, understand their symptoms or health concerns, and provide relevant information or recommendations. The medical chatbot uses machine learning algorithms to provide personalized healthcare services. This enhances user engagement and satisfaction and improves patient empowerment. Medical chatbots have the potential to revolutionize healthcare by providing accessible and convenient services to a wide range of users, accuracy, security, and ethical concerns need to be addressed.

Keywords

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Citation of this Article

Aaysha Inamdar, Mohit Pandey, Sonali Ghorpade, Prajakta Dawari, Prof. Rashmi kulkarni, Prof. Kalyani kadam, “Medical Chatbot in Artificial Intelligence and Machine Learning to help Human” in proceeding of International Conference of Recent Trends in Engineering & Technology ICRTET - 2023, Organized by SCOE, Sudumbare, Pune, India, Published in IRJIET, Volume 7, Special issue of ICRTET-2023, pp 191-192, June 2023.

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