Medical Chatbot Techniques: A Review
In the current world situation, people are more concerned about their health. Unfortunately, nowadays the doctor human resource is lesser than the patient. These circumstances make a lot of people who seek treatment are unhandled. Many studies can solve t
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· Health service
Introduction
In recent years, people get addicted to the internet in obtaining information for every problem they face. This not only yet people to seek knowledge about general topics but also their health concerns [15]. However, people are afraid of misinterpretation when they googled their symptoms since most search end up with creating unnecessary paranoid to the users and may sometimes inaccurate. Based on that needs, people start to develop several technologies to help people get the most accurate results on their disease. One of them is by creating a yes-no answer questionnaire system. It certainly helps, however, due to some disease have almost the same symptoms as the other, we can’t rely on this yes-no system since more information need to be elaborated to obtain accuracy. Another one is creating website whereas according to Aswini [3], a medical website plays a vital role in today’s digital world and a lot of forum is available for answering the queries provided by the user. The need for a reliable and accurate diagnosis wakes the rise of a new generation of healthcare technology called the Medical Chatbot. The main idea of creating this chatbot is to replicate a person’s discussion [7]. This helps people to learn more about their symptoms and give them the most accurate diagnosis possible. The chatbot is also drawing upon the ever-growing medical question range, to broaden its already significant wealth of medical expertise. Many seemingly static scenes contain subtle changes that are invisible to the naked human eye. However, it is possible to pull out these small changes from videos through the use of algorithms via motion magnification [29]. Motion magnification gives a way to visualize these small changes by amplifying them and to pull out interesting signals from these videos, such as the human pulse [29]. Artificial intelligence (AI) c The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020 R. Silhavy et al. (Eds.): CoMeSySo 2020, AISC 1294, pp. 346–356, 2020. https://doi.org/10.1007/978-3-030-63322-6_28
Medical Chatbot Techniques: A Review
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is an umbrella term for computer software consisting of a complex mathematical algorithm that processes input information to produce any specific pre-defined outputs, which lead to relevant outcomes [19]. AI systems, which utilize large datasets, can be designed to enhance decision-making and analytical processes while imitating human cognitive functions. AI has been applied in medicine and various healthcare services such as diagnostic imaging and genetic diagnosis, as well as a clinical laboratory, screening, and health communications [19].
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Theoretical Background
For the technology, Bohle et al. [6] aims to create an “empathetic” embodied AI chatbot to search, retrieve, analyze, and communicate medical information and to interact with health care providers in natural language and “voice” using 3D facial expressions and gestures. There also a medical chatbot which used A Webb
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