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Author

Fulden Cantaş Türkiş

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2 papers indexed here

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Open access Sep 2026

Interpretable admission-stage machine learning for early Sepsis-3 identification in the emergency department

Background/objectives Artificial intelligence-based clinical decision support systems have emerged as promising tools for improving early sepsis recognition in emergency departments. This study aimed to develop and evaluate interpretable machine learning models for identifying Sepsis-3-defined sepsis using routinely av...

Fulden Cantaş Türkiş, Buğra Varol · 0 citations
Review Open access Sep 2026

Multidimensional attitudes toward Artificial Intelligence among medical students and faculty: associations with knowledge, perspectives, and usage patterns

Aims: This study aimed to evaluate Artificial Intelligence (AI)-related knowledge, healthcare-oriented AI perspectives, and multidimensional attitudes toward AI among medical students and faculty members in a Turkish medical school.Methods: This analytical cross-sectional study was conducted during the 2025-2026 academ...

Fulden Cantaş Türkiş, Arda Kaan Cingöz, Çağrı Ergin et al. · 0 citations

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