Foresight—generative pretrained transformer for the prediction of patient timelines
The reconstruction of patient paths—ie, their temporally ordered diagnoses, diagnostic procedures, and the resulting treatments—has shown great potential for gaining new insights in real-world medical practice. Reconstructing patient trajectories from electronic health records (EHRs) is not a new discipline; early attempts go as far back as the late 1990s.1 Since then, the field has developed rapidly. Prognosis of symptoms, diagnoses, treatment response, death, or other events has become a field of active research.