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Author

Sedat Arslan

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Review Open access Sep 2026

Potential Use of ChatGPT-4 in Micronutrient Deficiency Management: A Narrative Scoping Review and a Framework for Validation and Safe Deployment

Abstract / Summary Micronutrient deficiencies remain common and clinically important, yet their recognition and management require careful history-taking, appropriate testing, and guideline-concordant counseling. Large language models (LLMs) such as ChatGPT-4 have been proposed as tools that may support clinical nutri...

Ayça Aydın, Sedat Arslan · 0 citations
Review Open access Oct 2026

Glutathione and N-acetylcysteine in athletes: redox regulation and performance

Exercise-derived reactive oxygen species contribute to both cellular stress and training adaptation, creating uncertainty regarding the potential value of thiol-based antioxidant strategies in physically active populations. This structured narrative review critically evaluated human studies of glutathione (GSH)-contain...

Büşra Diler, Sedat Arslan, Pınar Göbel · 0 citations
Review Open access Aug 2026

Large language models in clinical nutrition practice: opportunities, risks, and governance

This paper provides a clinic-ready “LLM Safety & Quality Checklist” to support dietitians and clinical teams in verifying outputs against authoritative guidelines, identifying high-risk cases requiring clinician review, ensuring transparent disclosure to patients, and safeguarding privacy.

Sedat Arslan · 1 citation
Open access Jul 2026

Can Machines Detect Ultra-Processed Foods? A Head-to-Head Evaluation of Large Language Models Using NOVA Classification

It is suggested that off-the-shelf LLMs require prompt calibration and human oversight before UPF surveillance workflows, and low inter-run agreement indicated sensitivity to model updates, supporting prompt calibration and human oversight.

H. Bayram, Sedat Arslan, Arda Ozturkcan · 0 citations

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