Work

The AI Doctor Is In: A Survey of Task-Oriented Dialogue Systems for Healthcare Applications

Year: 2022

Type: conference-paper

Abstract: Task-oriented dialogue systems are increasingly prevalent in healthcare settings, and have been characterized by a diverse range of architectures and objectives.Although these systems have been surveyed in the medical community from a non-technical perspective, a systematic review from a rigorous computational perspective has to date remained noticeably absent.As a result, many important implementation details of healthcare-oriented dialogue systems remain limited or underspecified, slowing the pace of innovation in this area.To fill this gap, we investigated an initial pool of 4070 papers from well-known computer science, natural language processing, and artificial intelligence venues, identifying 70 papers discussing the system-level implementation of task-oriented dialogue systems for healthcare applications.We conducted a comprehensive technical review of these papers, and present our key findings including identified gaps and corresponding recommendations.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2022.acl-long.458

Authors: Mina Valizadeh, Natalie Parde

Institution: University of Illinois Chicago

Language: English

Topic: Speech and dialogue systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

Funders: National Science Foundation, University of Illinois at Urbana-Champaign, University of Illinois at Chicago