Abstract
Real-world studies have been widely conducted in medical research to generate evidence for improving clinical decision-making. However, several issues arise when conducting prospective real-world studies, including a lack of informed consent, increased patient burden, potential decision bias, and the risk of sales promotion. These challenges can compromise real-world studies’ integrity, ethics, and reliability. This editorial explores how integrating artificial intelligence technologies can help address the challenges associated with conducting prospective real-world studies.
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