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Artificial intelligence (AI) researchers claim that they have made great`achievements' in clinical realms. However, clinicians point out the so-called`achievements' have no ability to implement into natural clinical settings. Theroot cause for this huge gap is that many essential features of naturalclinical tasks are overlooked by AI system developers without medicalbackground. In this paper, we propose that the clinical benchmark suite is anovel and promising direction to capture the essential features of thereal-world clinical tasks, hence qualifies itself for guiding the developmentof AI systems, promoting the implementation of AI in real-world clinicalpractice.

A new direction to promote the implementation of artificial intelligence in natural clinical settings