AI-Powered Health Chatbots: Toward a general architecture
Open accessAbstract
A Chatbot is a conversational agent that simulate human conversation, through text or voice messages. One of the first goals of a Chatbot is to interact with the user just like a human. When it comes to Health Chatbots, another main goal is to be able to get the correct answer to the user request. In this paper we propose a general Architecture of an AI-Powered Health Chatbot with Four components to reach the two goals, which integrates dialogue and communication part in natural language understanding (NLU) and natural language generation (NLG), and the expert part based on deep learning whose function is to give appropriate response from pre-formatted data.
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AI-powered virtual assistants and chatbots lack the emotional depth and understanding of human healthcare providers.
“While these tools can streamline communication and provide quick responses, they lack the emotional depth and understanding of human healthcare providers.”
From Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond (2024) · cites this paper as [132]
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Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
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- Authors
- Khadija, A., Zahra, F. F., & Naceur, A.
- Venue
- Procedia Computer Science
- Publisher
- Elsevier BV
- Published
- 2021
- Volume
- 191
- Pages
- 355-360
- ISSN
- 1877-0509 (ISSN-L)
- OpenAlex
- W3198040720
- Cited by
- 36
- References
- 16
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 10 · 2023: 13 · 2022: 1
- FWCI
- 2.77
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Procedia Computer Science (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- healthcare chatbots, chatbots, chatbot architecture, natural language understanding, natural language generation, deep learning, dialogue systems, expert systems, medical information retrieval
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