Author

Ilknur Cetinaslan Turkmen

2 papers indexed here

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Open access Sep 2026

Errors, Hallucinations, and Clinical Impact of General-Purpose Multimodal Large Language Models in Histopathology

BackgroundGeneral-purpose large language models (LLMs) are increasingly evaluated in diagnostic pathology, but prior studies have largely emphasized diagnostic accuracy rather than how models fail. We evaluated four LLMs for diagnostic performance, pathology-relevant errors and hallucinations, their burden, and potenti...

K. Lami, S. Agarwal, A. Asaturova et al. · medRxiv · 0 citations

#artificial intelligence Preprint Sep 2026

Benchmarking Vision-Language Models for Automated Pathology Diagnosis and Report Generation

A clinically curated Pan-Asia WSI--report dataset is introduced and the REG 2025 benchmark is established as a benchmark for evaluating WSI-based structured report generation and vision-language understanding in computational pathology, providing insights for the design of clinically grounded multimodal pathology model...

Yu-Mi Lee, Harim Oh, Hyo-yun Kim et al. · 0 citations