Large language model-based triage to identify antiretroviral therapy adherence barriers and risk levels in patient messages
Abstract Objective This study aimed to develop large language models (LLMs) to automatically identify antiretroviral therapy (ART) adherence barriers and stratify nonadherence risk levels from patient-generated messages. Materials and Methods With a co-construction committee of people with HIV and providers, 15 480 sen...