NEJM AI: Editorial Publication
How can generative AI advance Target Trial Emulation?
In a new editorial published in NEJM AI, authors Issa Dahabreh (CAUSALab, Harvard T.H. Chan School of Public Health), Robert Yeh (Beth Israel Deaconess Medical Center, Harvard Medical School), and Piersilvio De Bartolomeis (ETH Zürich) explore how AI computational tools can transform causal analyses.
“Trial Emulation, Simulation, and Augmentation Using Electronic Health Records and Generative AI”
Researchers reference TRIALSCOPE, a computational tool for processing electronic health record data, to demonstrate how AI can support target trial emulation, enhance observational data extraction and analysis, and improve the efficiency of clinical trials.
“The major takeaway for me is that we can use AI tools to significantly accelerate target trial emulation and the way clinical trials are designed and analyzed” said Piersilvio De Bartolomeis.
Read the editorial now in NEJM AI.
