  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.
