irAE-GPT: Leveraging large language models to identify immune-related adverse events in electronic health records and clinical trial datasets

The GPT models demonstrated generalizable abilities in identifying irAEs across EHRs and clinical trial reports and uncovered substantial limitations of GPT models in handling textual causation, where adverse events should not only be accurately identified in clinical text but also causally linked to immune checkpoint inhibitors.