Artificial Intelligence-based Clinical Decision Support for COVID-19 -- Where Art Thou?

TL;DR

This paper discusses the potential and challenges of implementing AI-based clinical decision support systems specifically for COVID-19, emphasizing the need for readiness in rapidly emergent healthcare situations.

Contribution

It identifies key opportunities, requirements, and challenges for deploying AI-driven decision support tools during emergent health crises like COVID-19.

Findings

Limited application of AI tools for COVID-19 clinical support

Highlights challenges impacting AI readiness in emergent healthcare

Proposes opportunities for future AI integration in healthcare

Abstract

The COVID-19 crisis has brought about new clinical questions, new workflows, and accelerated distributed healthcare needs. While artificial intelligence (AI)-based clinical decision support seemed to have matured, the application of AI-based tools for COVID-19 has been limited to date. In this perspective piece, we identify opportunities and requirements for AI-based clinical decision support systems and highlight challenges that impact "AI readiness" for rapidly emergent healthcare challenges.