Bilkent University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Incorporating AI in foreign language education: An investigation into ChatGPT’s effect on foreign language learners
Fatih Karataş, Faramarz Yaşar Abedi, Filiz Ozek Gunyel et al.
2024 · 162 Zit.
Emergency department triaging using ChatGPT based on emergency severity index principles: a cross-sectional study
Cansu Colakca, Mehmet Ergın, Habibe Selmin Özensoy et al.
2024 · 25 Zit.
Elevating healthcare through artificial intelligence: analyzing the abdominal emergencies data set (TR_ABDOMEN_RAD_EMERGENCY) at TEKNOFEST-2022
Ural Koç, Ebru Akçapınar Sezer, Yaşar Alper Özkaya et al.
2023 · 9 Zit.
Artificial Intelligence in Breast Imaging: Opportunities, Challenges, and Legal–Ethical Considerations
İrmak Durur-Subasi, Selahattin Özçelik
2023 · 8 Zit.
Reliability and readability analysis of ChatGPT-4 and Google Bard as a patient information source for the most commonly applied radionuclide treatments in cancer patients
Hüseyin Şan, Özkan Bayrakcı, Berkay Çağdaş et al.
2024 · 6 Zit.
Textual Proficiency and Visual Deficiency: A Comparative Study of Large Language Models and Radiologists in MRI Artifact Detection and Correction
Yasin Celal Güneş, Turay Cesur, Eren Çamur et al.
2025 · 4 Zit.
Empowering Radiologists with ChatGPT-4o: Comparative Evaluation of Large Language Models and Radiologists in Cardiac Cases
Turay Cesur, Yasin Celal Güneş, Eren Çamur et al.
2024 · 3 Zit.
Concordance and generalization of an AI algorithm with real-world clinical data in the pre-omicron and omicron era
Gülşen Yılmaz, Sevilay Sezer, Aliye Baştuğ et al.
2024 · 3 Zit.
Radiology meets AI: Evolving trends in national vs. international conferences (2019–2024)
Muhammet Batuhan Gökhan, Ural Koç
2025 · 3 Zit.
Emergency department triaging using ChatGPT Based on Emergency Severity Index principles: A cross-sectional study
Cansu Colakca, Mehmet Ergin, Habibe Selmin Özensoy et al.
2024 · 1 Zit.
AI performance in emergency medicine fellowship examination: comparative analysis of Chatgpt-4o, Gemini 2.0, Claude 3.5, and Deepseek R1 models
İshak Şan, Medine Akkan Öz, Mehmet Yortanlı et al.
2025 · 1 Zit.
Empowering Radiologists With ChatGPT-4o
Turay Cesur, Yasin Celal Güneş, Eren Çamur et al.
2025 · 1 Zit.
Clinical Reasoning and Knowledge Assessment of Rheumatology Residents Compared to AI Models: A Pilot Study
Esra Kayacan Erdoğan, Hakan Babaoğlu
2024 · 0 Zit.
ChatGPT provides high‐quality answers to FAQs about high tibial osteotomy despite low inter‐rater agreement
Serhat Akçaalan, Yavuz Şahbat, Glauco Loddo et al.
2025 · 0 Zit.
Evaluation of large language models in assigning PI-RADS v2.1 categories for prostate MRI reports
Betül Akdal Dölek, Muhammed Said Beşler
2026 · 0 Zit.