Despite the promise of medical artificial intelligence (AI) applications, their acceptance in real-world clinical settings is low, with lack of transparency and trust being barriers that need to be overcome.
Thinking of AI applications for clinical use as an intricate combination of scientific, technological, and social inputs will ultimately make research and development in this area more robust, trustworthy, and successful.
From Nature Machine Intelligence
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