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. 2021 Apr 10;17(6):1581–1587. doi: 10.7150/ijbs.58855

Table 3.

Challenges and perspectives of machine learning-based COVID-19 diagnosis

Challenges Perspectives
Improve the accuracy of the AI diagnosis Combine chest imaging with clinical symptoms, exposure history, and laboratory tests in the diagnosis of COVID-19
Reduce the false negative diagnosis rate Provides spare capacity for CT and X-ray imaging scans with the advantages of rapid COVID-19 diagnosis.