In a recent editorial in NEJM AI, researchers Issa Dahabreh, Robert Yeh, and Piersilvio De Bartolomeis delve into how generative AI can enhance Target Trial Emulation. They highlight the use of TRIALSCOPE, a sophisticated computational tool that processes electronic health record (EHR) data, to streamline observational data extraction and clinical trial design. The authors emphasize that integrating AI tools not only accelerates the emulation of target trials but also improves the efficiency and effectiveness of clinical research. As the field evolves, leveraging AI technologies can significantly transform causal analyses and contribute to more robust healthcare outcomes. The insights from this editorial underscore the promising role of generative AI in advancing clinical trials and public health research. For more details, read the full editorial in NEJM AI. Stay updated with the latest innovations in public health by connecting with Harvard Chan School.
Last Updated: October 8, 2025.
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