Acıbadem Adana Hospital

Evaluating the performance of ChatGPT in answering questions related to urolithiasis

Hakan Çakır, Ufuk Çağlar, Oğuzhan Yıldız et al.

2023 · 49 Zit.

Multi-class classification of thyroid nodules from automatic segmented ultrasound images: Hybrid ResNet based UNet convolutional neural network approach

Neslihan Gökmen Inan, Ozan Kocadağlı, Düzgün Yıldırım et al.

2023 · 42 Zit.

A joint convolutional-recurrent neural network with an attention mechanism for detecting intracranial hemorrhage on noncontrast head CT

Deniz Alış, Ceren Aliş, Mert Yergin et al.

2022 · 40 Zit.

Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysis

Esma Çerekçi, Deniz Alış, Nurper Denizoglu et al.

2024 · 30 Zit.

ChatGPT Can Offer At Least Satisfactory Responses to Common Patient Questions Regarding Hip Arthroscopy

Emre Anıl Özbek, Mehmet Batu Ertan, Peri Kından et al.

2024 · 24 Zit.

Diagnostic capabilities of artificial intelligence as an additional reader in a breast cancer screening program

Mustafa Ege Şeker, Yılmaz Onat Köylüoğlu, Ayşe Özaydın et al.

2024 · 24 Zit.

Analyzing the performance of <scp>ChatGPT</scp> in answering inquiries about cervical cancer

Engin Yurtçu, Seyfettin Ozvural, Betül Keyif

2024 · 15 Zit.

Choosing the right artificial intelligence solutions for your radiology department: key factors to consider

Deniz Alış, Toygar Tanyel, Emine Meltem et al.

2024 · 14 Zit.

Easily accessible, up‐to‐date and standardised training model in Urology: E‐Learning Residency training programme (ERTP)

Volkan Şen, Hüseyin Eren, İlke Onur Kazaz et al.

2020 · 12 Zit.

ChatGPT-assisted deep learning model for thyroid nodule analysis: beyond artifical intelligence

İsmail Meşe, Neslihan Gökmen Inan, Ozan Kocadağlı et al.

2023 · 12 Zit.

Comparison of three chatbots as an assistant for problem-solving in clinical laboratory

Sedat Abuşoğlu, Muhittin A. Serdar, Ali Ünlü et al.

2023 · 9 Zit.

A Narrative Review of Artificial Intelligence in MRI-Guided Prostate Cancer Diagnosis: Addressing Key Challenges

Deniz Alış, Aslıhan Onay, Evrim Çolak et al.

2025 · 8 Zit.

Telemedicine and Artificial Intelligence in the Management of Endometriosis: Future Forecast Considering Current Progress

Cihan Kaya, Taner Usta, Engin Oral

2022 · 4 Zit.

Annotation-efficient, patch-based, explainable deep learning using curriculum method for breast cancer detection in screening mammography

Ozden Camurdan, Toygar Tanyel, Esma Çerekçi et al.

2025 · 4 Zit.

Clinical Application of AI in Mammography: Insights from a Prospective Study

Ebru Yılmaz, Mustafa Ege Şeker, Nilgün Güldoğan et al.

2025 · 2 Zit.