Author

H. Isik

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Open access Oct 2026

Comparative performance of Gemini and DeepSeek large language models in surgical decision support for mastoidectomy in chronic otitis media with cholesteatoma

To compare the clinical accuracy of two state-of-the-art Large Language Models (LLMs), Gemini Pro v3.1 and DeepSeek v3.2, in providing surgical decision support and postoperative management for mastoidectomy using expert-validated real patient data. A retrospective analysis included 121 mastoidectomy cases...

H. Isik, Deniz Baklacı, Gökhan Furkan Kılıç et al. · Frontiers in Neurology · 0 citations

Open access Sep 2026

Diagnostic Efficacy of Clinico-Pathological Parameters in Predicting Nodal Positivity in Oral Cavity Squamous Cell Carcinoma: A Multivariate Risk Assessment

Background and Objectives: This study investigated clinicopathological factors associated with occult cervical lymph node metastasis in clinically node-negative oral cavity squamous cell carcinoma (OCSCC). Materials and Methods: This retrospective study included 108 patients who underwent primary tumor resection and el...

Deniz Baklacı, G. F. Kılıç, H. Isik et al. · Medicina · 0 citations

#artificial intelligence Preprint Aug 2026

ARC-CT: Anatomy-Routed Contrastive Vision-Language Learning for 3D Chest CT

An Anatomy-Routed Contrastive Learning for 3D Chest CT (ARC-CT), a region-aware framework that addresses limitations using only reports extracted from reports by an LLM, with no manual annotations or bounding boxes, outperforms both comparable efficient baselines and larger transformer models.

H. Isik, Mehmet Alp Ozaydin, S. Kurugol et al. · 1 citation