Yazar "Kaba, Esat" için listeleme
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Accuracy and readability of ChatGPT on potential complications of interventional radiology procedures: AI-powered patient interviewing
Kaba, Esat; Beyazal, Mehmet; Çeliker, Fatma Beyazal; Yel, İbrahim; Vogl, Thomas J (Elsevier, 2024)Rationale and Objectives: It is crucial to inform the patient about potential complications and obtain consent before interventional radiology procedures. In this study, we investigated the accuracy, reliability, and ... -
Accuracy of large language models in thyroid nodule-related questions based on the Korean thyroid imaging reporting and data system (K-TIRADS)
Kaba, Esat; Hürsoy, Nur; Solak, Merve; Çeliker, Fatma Beyazal (Korean Radiological Society, 2024)We read with great pleasure the review article “Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals” by Kim et al. [1] which was published online in ... -
Assessing ChatGPT’s summarization of 68Ga PSMA PET/CT reports for patients
Bülbül, Ogün; Bülbül, Hande Melike; Kaba, Esat (Springer, 2024)Purpose: ChatGPT has recently been the subject of many studies, and its responses to medical questions have been successful. We examined ChatGPT-4’s evaluation of structured 68Ga prostate-specific membrane antigen (PSMA) ... -
Can we use large language models for the use of contrast media in radiology?
Kaba, Esat; Vogl, Thomas J. (Elsevier, 2023).... -
Comparative parotid gland segmentation by using ResNet-18 and MobileNetV2 based DeepLab v3+architectures from magnetic resonance images
Sünnetçi, Kubilay Muhammed; Kaba, Esat; Çeliker, Fatma Beyazal; Alkan, Ahmet (Wiley, 2022)Nowadays, artificial intelligence-based medicine plays an important role in determining correlations not comprehensible to humans. In addition, the segmentation of organs at risk is a tedious and time-consuming procedure. ... -
Correction to: Radiomics-based machine learning in the differentiation of benign and malignant bowel wall thickening (Japanese Journal of Radiology, (2024), 42, 8, (872-879), 10.1007/s11604-024-01558-8)
Bülbül, Hande Melike; Burakgazi, Gülen; Kesimal, Uğur; Kaba, Esat (Springer, 2024)In this article the title was incorrectly given as 'Radiomics‑based machine learning in the differentiation of benign and malignant bowel wall thickening radiomics in bowel wall thickening' but should have been 'Radiomics‑based ... -
Deep network-based comprehensive parotid gland tumor detection
Sünnetçi, Kubilay Muhammed; Kaba, Esat; Çeliker, Fatma Beyazal; Alkan, Ahmet (Elsevier, 2023)Rationale and Objectives: Salivary gland tumors constitute 2%-6% of all head and neck tumors and are most common in the parotid gland. Magnetic resonance (MR) imaging is the most sensitive imaging modality for diagnosis. ... -
Generative adversarial network based contrast enhancement: synthetic contrast brain magnetic resonance imaging
Solak, Merve; Tören, Murat; Asan, Berkutay; Kaba, Esat; Beyazal, Mehmet; Çeliker, Fatma Beyazal (Elsevier, 2024)Rationale and Objectives: Magnetic resonance imaging (MRI) is a vital tool for diagnosing neurological disorders, frequently utilising gadolinium-based contrast agents (GBCAs) to enhance resolution and specificity. However, ... -
Is it possible to make LI-RADS easier?
Solak, Merve; Kaba, Esat; Beyazal, Mehmet (Wiley, 2024).... -
MR image fusion-based parotid gland tumor detection
Sünnetçi, Kubilay Muhammed; Kaba, Esat; Çeliker, Fatma Beyazal; Alkan, Ahmet (Springer, 2024)The differentiation of benign and malignant parotid gland tumors is of major significance as it directly affects the treatment process. In addition, it is also a vital task in terms of early and accurate diagnosis of parotid ... -
Predicting COVID-19 outcomes: Machine learning predictions across diverse datasets
Panç, Kemal; Hürsoy, Nur; Başaran, Mustafa; Yazıcı, Mümin Murat; Kaba, Esat; Nalbant, Ercan; Gündoğdu, Hasan; Gürün, Enes (2023)Background The COVID-19 infection has spread rapidly since its emergence and has affected a large part of the global population. With the increasing number of cases, researchers are trying to predict the prognosis of ... -
Predicting semen analysis parameters from testicular ultrasonography images using deep learning algorithms: an innovative approach to male infertility diagnosis
Sağır, Lütfullah; Kaba, Esat; Hüner Yiğit, Merve; Taşçı, Filiz; Uzun, Hakkı (MDPI, 2025)Objectives: Semen analysis is universally regarded as the gold standard for diagnosing male infertility, while ultrasonography plays a vital role as a complementary diagnostic tool. This study aims to assess the effectiveness ... -
The R.E.N.A.L. nephrometry scoring from CT reports with ChatGPT: example with proofs
Topçu Varlık, Ayşenur; Kaba, Esat; Burakgazi, Gülen (Springer, 2024)We read with great interest, curiosity the article by Toyama et al. published in the Japanese Journal of Radiology [1]. In this article, the authors compared the response of large language models (LLMs) to the questions ...
