Publication Type : Conference Paper
Publisher : Springer Nature Switzerland
Source : Lecture Notes in Computer Science
Url : https://doi.org/10.1007/978-3-031-36402-0_67
Campus : Amritapuri
School : School of Computing
Year : 2023
Abstract : Conversational artificial intelligence is a subfield of the broader spectrum of AI that refers to tools and technologies, such as chatbots and virtual agents, that can converse with humans. Conversational AI uses natural language understanding, language processing, machine learning, and reasoning capabilities to mimic human cognition. These agents may find applications in sectors such as education, healthcare, and marketing, to name a few. Recent years witnessed exponential growth in conversational AI research and development, introducing more intelligent agents with near-human-like conversation capabilities. Healthcare is one area that witnessed the rapid adoption of healthcare agents, including patient-facing use cases. This bibliometric analysis summarizes and analyzes recent and prominent research in conversational AI in healthcare. This work poses many research questions and attempts to answer them using the derived insights. This may be highly useful for researchers and practitioners of various avenues of the digital healthcare sector to understand the research trends in conversational artificial intelligence.
Cite this Research Publication : P. R. Visakh, P. N. Meena, V. S. Anoop, Conversational Artificial Intelligence in Digital Healthcare: A Bibliometric Analysis, Lecture Notes in Computer Science, Springer Nature Switzerland, 2023, https://doi.org/10.1007/978-3-031-36402-0_67