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Öğe Comparative Analysis of Large Language Models in Simplifying Turkish Ultrasound Reports to Enhance Patient Understanding(Pera Yayincilik Hizmetleri, 2024) Gunes, Yasin Celal; Cesur, Turay; Camur, ErenObjective: To evaluate and compare the abilities of Language Models (LLMs) in simplifying Turkish ultrasound (US) findings for patients. Methods: We assessed the simplification performance of four LLMs: ChatGPT 4, Gemini 1.5 Pro, Claude 3 Opus, and Perplexity, using fifty fictional Turkish US findings. Comparison was based on Ate man's Readability Index and word count. Three radiologists rated medical accuracy, consistency, and comprehensibility on a Likert scale from 1 to 5. Statistical tests (Friedman, Wilcoxon, and Spearman correlation) examined differences in LLMs' performance. Results: Gemini 1.5 Pro, ChatGPT-4, and Claude 3 Opus received high Likert scores for medical accuracy, consistency, and comprehensibility (mean: 4.7-4.8). Perplexity scored significantly lower (mean: 4.1, p<0.001). Gemini 1.5 Pro achieved the highest readability score (mean: 61.16), followed by ChatGPT-4 (mean: 58.94) and Claude 3 Opus (mean: 51.16). Perplexity had the lowest readability score (mean: 47.01). Gemini 1.5 Pro and ChatGPT-4 used significantly more words compared to Claude 3 Opus and Perplexity (p<0.001). Linear correlation analysis revealed a positive correlation between word count of fictional US findings and responses generated by Gemini 1.5 Pro (correlation coefficient = 0.38, p<0.05) and ChatGPT-4 (correlation coefficient = 0.43, p<0.001). Conclusion: This study highlights strong potential of LLMs in simplifying Turkish US and Claude 3 Opus performed well, highlighting their effectiveness in healthcare communication. Further research is required to fully understand the integration of making.Öğe Comparison of the performance of large language models and general radiologist on Ovarian-Adnexal Reporting and Data System (O-RADS)-related questions(Ame Publishing Company, 2024) Camur, Eren; Cesur, Turay; Gunes, Yasin Celal[Abstract No tAvailable]Öğe Correspondence on 'Evaluation of ChatGPT in knowledge of newly evolving neurosurgery: middle meningeal artery embolization for subdural hematoma management' by Koester et al(Bmj Publishing Group, 2024) Gunes, Yasin Celal; Camur, Eren; Cesur, Turay[Abstract No tAvailable]Öğe Large Language Models: Could They Be the Next Generation of Clinical Decision Support Systems in Cardiovascular Diseases?(Kare Publ, 2024) Gunes, Yasin Celal; Cesur, Turay[Abstract No tAvailable]Öğe Letter to Editor Regarding Assessing the Capability of ChatGPT, Google Bard, and Microsoft Bing in Solving Radiology Case Vignettes(Thieme Medical Publ Inc, 2024) Gunes, Yasin Celal; Cesur, Turay[Abstract No tAvailable]
