Ralina Karagenova

Human-in-the-loop large language model framework for identification of cutaneous immune-related adverse events

This study evaluated a retrieval-augmented, multi-agent large language model (LLM)–driven, human-in-the-loop framework for detecting cutaneous immune-related adverse events (cirAEs) from clinical notes. Compared with the unassisted manual-review group, the LLM-assisted group demo...

Melanoma Prognostication Using AI ‐Guided Histopathology

Accurate diagnosis and risk stratification are central for optimal management of patients with melanoma. Current American Joint Committee on Cancer (AJCC) staging systems inadequately stratify patients with clinically meaningful metastatic potential. Manual histopathologic interp...