Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Hetal Lad

h-index 4 View on Semantic Scholar

We have 3 of 11 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Large language models for tympanostomy patient education: readability and guideline adherence.

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. · 0 citations
Open access Sep 2026

Evaluating AI-Generated Tonsillectomy Guidance Against Clinical Practice Standards

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. · 0 citations
Review Open access Aug 2026

Benchmarking Large Language Model Responses Against Surgical Clinical Practice Guidelines for Chronic Rhinosinusitis: The Importance of User Prompts

LLMs demonstrated similar guideline concordance, suggesting patients can expect comparable accuracy across platforms, and LLMs generally improved FKGL scores compared to the AAO-HNS CPG, they demonstrated lower FRE scores, indicating mixed results on overall readability.

Hetal Lad, Emily S Kwon, Ayushi Chadha et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.