Abstract
In this day and age of digitalization, every division of the industry is looking into implementing cutting-edge technologies into their products to meet the needs of the modern era. The use of Artificial Intelligence-based Automated Agents is very popular in some large-scale applications. In traditional health care system, most of the query regarding the functionalities is often not addressed rapidly around the clock. The proposed work focuses to develop an Artificial Intelligence-based automated system called Medbot, which uses Natural Language Processing (NLP) and Machine Learning (ML) to develop a personalized Virtual assistant for solving the queries related to medical devices. It stands in the place of technical support experts in comprehending the specific functionalities and features of the medical equipment which is oftentimes more intricate to handle. The Medbot responses to the user’s query are quicker than a traditional system which is skimming an entire manual provided by the manufacturer. Based on the test constraints, this chatbot attained more than 90% accuracy for almost every intent provided. The bot is platform-independent and can be integrated with the web, mobile, and other most commonly used messaging applications and it can also handle multiple query requests by a large number of users at the same time and can be deployed securely. Based on the test constraints, this chatbot attained more than 90% accuracy for almost every intent provided.
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Pradeep, R., Praveen Kumar, S., Sasikumar, S., Valarmathie, P., Gopirajan, P.V. (2022). Artificial Intelligence-Based Automation System for Health Care Applications: Medbot. In: Ranganathan, G., Fernando, X., Shi, F., El Allioui, Y. (eds) Soft Computing for Security Applications . Advances in Intelligent Systems and Computing, vol 1397. Springer, Singapore. https://doi.org/10.1007/978-981-16-5301-8_14
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