PURPOSE
To evaluate the accuracy and readability of large language model (LLM)-generated patient education materials regarding tympanostomy tube placement.
METHODS
Over a two-month period, ChatGPT 4o, Gemini 2.5 Flash, and Google Search AI were prompted daily using long-form and layered prompt formats covering typica...
Shreeya R. Bahethi, Hetal Lad, Shrey B. Shah et al.· European archives of oto-rhi...· 0 citations
Background/Objectives: Artificial intelligence (AI) tools are used in clinical education and patient communication. Concordance with American Academy of Otolaryngology–Head and Neck Surgery Foundation clinical practice guidelines (CPG) and overall readability remain poorly defined. Methods: Over 2 months, ChatGPT, Goog...
Hetal Lad, Shrey B. Shah, Shreeya R. Bahethi et al.· Journal of Otorhinolaryngolo...· 0 citations
Agentic retrieval workflows produce query, retrieval, and stopping traces as a byproduct of answering questions. We study how these traces can adapt a deployed dense retriever to changing workflow distributions without new relevance labels, synthetic queries, or LLM judgments. We introduce Navigation-Informed Embedding...
Shrey B. Shah, Levent Ozgur· 0 citations
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