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This article discusses the challenges and advancements in using artificial intelligence and machine learning for medical diagnosis and prognosis, particularly in the context of COVID-19. It calls for new approaches and research ideas, including statistical machine learning, unsupervised model design, and explainable artificial intelligence. Manuscripts are being accepted for publication in this field.