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Medical artificial intelligence (AI) involves the application of machine learning (ML) algorithms to biomedical datasets to improve medical practices. Products incorporating medical AI require certification before deployment in most jurisdictions. To date, clear pathways for regulating medical AI are still under development. Below the level of formal pathways lies the actual practice of developing a medical AI solution. This Perspective proposes best practice guidelines for developmentdoi:10.1002/aisy.202100042 fatcat:qcipgz3kgzbarl6p5pcvlwjoji