rapidly, but real-world clinical implementation has not yet become a reality. Here we review
some of the key practical issues surrounding the implementation of AI into existing clinical
workflows, including data sharing and privacy, transparency of algorithms, data
standardization, and interoperability across multiple platforms, and concern for patient
safety. We summarize the current regulatory environment in the United States and highlight …