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Conversational Artificial Intelligence in Healthcare

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Machine Learning and Autonomous Systems

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 269))

Abstract

Innovative conversational artificial intelligence (AI) powered systems have been gaining momentum in the healthcare industry in recent years. Automated artificial intelligence programs are built with the purpose of allowing effective communication by providing an interface between the computer and the user. Conversational AI are making a significant impact on the healthcare industry for both medical health providers and patients. Several natural language processing (NLP) platforms, in particular using natural language understanding (NLU), such as Google Dialogflow, IBM Watson and Rasa are used in conversational AI. This paper intends to present an architecture adopted to deploy a successful conversational AI agent, named Ainume, using Google Dialogflow on the Google Cloud Platform (GCP). Ainume identifies symptoms of common and chronic diseases, accordingly, suggesting nutraceutical solutions to reduce the symptoms of these diseases. The focus of this paper is on one aspect that Ainume is equipped to deal with, that is, cardiovascular diseases.

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Author information

Authors and Affiliations

  1. IPMD Inc., San Mateo, CA, USA

    Jatin Gupta, Nupur Raychaudhuri & Min Lee

Authors
  1. Jatin Gupta
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  2. Nupur Raychaudhuri
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  3. Min Lee
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Corresponding author

Correspondence to Jatin Gupta .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Dayeh University, Changhua, Taiwan

    Joy Iong-Zong Chen

  2. Go Perception Laboratory, Cornell University, Ithaca, NY, USA

    Haoxiang Wang

  3. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada

    Ke-Lin Du

  4. Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India

    V. Suma

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Gupta, J., Raychaudhuri, N., Lee, M. (2022). Conversational Artificial Intelligence in Healthcare. In: Chen, J.IZ., Wang, H., Du, KL., Suma, V. (eds) Machine Learning and Autonomous Systems. Smart Innovation, Systems and Technologies, vol 269. Springer, Singapore. https://doi.org/10.1007/978-981-16-7996-4_32

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