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. ... -
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. ... -
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 ... -
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 ... -
Radiomics-based machine learning in the differentiation of benign and malignant bowel wall thickening radiomics in bowel wall thickening
Bülbül, Hande Melike; Burakgazi, Gülen; Kesimal, Uğur; Kaba, Esat (Springer, 2024)PurposeTo distinguish malignant and benign bowel wall thickening (BWT) by using computed tomography (CT) texture features based on machine learning (ML) models and to compare its success with the clinical model and combined ... -
A rare cause of unexplained left flank pain: Nutcracker Syndrome
Kaba, Ayşe; Kaba, Esat; Ardıç, Cüneyt (Düzce Üniversitesi, 2023)Nutcracker syndrome refers to the compression of the left renal vein, usually between the aorta and the superior mesenteric artery. Flank pain is the most common complaint and hematuria can be seen among the laboratory ... -
RE: Regional lymphadenopathy following COVID-19 vaccination in patients with or suspicious of breast cancer: A quick summary of current key facts and recommendations
Sekmen, Sümeyye; Kaba, Esat; Hürsoy, Nur; Taşçı, Filiz (Korean Society of Radiology, 2022)We have gained a broader perspective on the management of unilateral lymphadenopathy due to COVID-19 vaccination from the editorial entitled “Regional Lymphadenopathy Following COVID-19 Vaccination in Patients with or ...
