Discussion In this study, we show that transformer-based language models can provide close to human-level performance to the task of triaging reports of suspected ADRs. Given the increasing number of reports globally and the need for preparedness for future surges in the number of reports–e.g., in relation to urgent public health interventions–we believe our results support implementation of AI in the field of regulatory pharmacovigilance, augmenting human assessors by providing automated...
