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Artificial Intelligence-Based Clinical Decision Support for COVID-19-Where Art Thou?
Unberath, Mathias; Ghobadi, Kimia; Levin, Scott; Hinson, Jeremiah; Hager, Gregory D.
  • Unberath M; The Malone Center for Engineering in Healthcare Johns Hopkins University 3400 N Charles Street, Malone Hall Suite 340 Baltimore MD 21218 USA.
  • Ghobadi K; The Malone Center for Engineering in Healthcare Johns Hopkins University 3400 N Charles Street, Malone Hall Suite 340 Baltimore MD 21218 USA.
  • Levin S; The Malone Center for Engineering in Healthcare Johns Hopkins University 3400 N Charles Street, Malone Hall Suite 340 Baltimore MD 21218 USA.
  • Hinson J; The Malone Center for Engineering in Healthcare Johns Hopkins University 3400 N Charles Street, Malone Hall Suite 340 Baltimore MD 21218 USA.
  • Hager GD; The Malone Center for Engineering in Healthcare Johns Hopkins University 3400 N Charles Street, Malone Hall Suite 340 Baltimore MD 21218 USA.
Adv Intell Syst ; 2(9): 2000104, 2020 Sep.
Article in English | MEDLINE | ID: covidwho-613441
ABSTRACT
The COVID-19 crisis has brought about new clinical questions, new workflows, and accelerated distributed healthcare needs. Although 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, the opportunities and requirements for AI-based clinical decision support systems are identified and challenges that impact "AI readiness" for rapidly emergent healthcare challenges are highlighted.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Adv Intell Syst Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Adv Intell Syst Year: 2020 Document Type: Article