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Author

Burak Altunpak

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Oct 2026

Clinical Safety Thresholds and Decision Risks of Search-Augmented Large Language Models in Acute Pancreatitis: A Guideline-Anchored Evaluation for Surgical Practice.

BackgroundPatients and clinicians increasingly consult search-augmented Large Language Models (LLMs) for point-of-care decision support. However, their safety thresholds against newly revised guidelines remain unverified. This study established a safety baseline evaluating the clinical accuracy, completeness, quality,...

Burak Altunpak · 0 citations
Sep 2026

When Treatment Gets More Complicated: AI Readability Declines in Breast Cancer Patient Education.

BackgroundThe proliferation of Large Language Models necessitates evaluating their performance in communication accessibility. This study compares the linguistic architecture, readability, and automated psycholinguistic text properties of AI-generated breast cancer materials across varying clinical complexities.Methods...

Burak Altunpak · 0 citations
Sep 2026

Large Language Models for Breast Cancer Education: A Comparative Analysis of Quality, Reliability and Readability.

Gemini significantly outperforms ChatGPT in response quality, reliability, and linguistic accessibility for breast cancer education, however, both models exceed the recommended sixth-grade reading level, indicating suboptimal optimization for general health literacy.

Burak Altunpak · 0 citations

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