Acıbadem University

A framework for validating AI in precision medicine: considerations from the European ITFoC consortium

Rosy Tsopra, Xosé M. Fernández, Claudio Luchinat et al.

2021 · 101 Zit.

Performance of emergency triage prediction of an open access natural language processing based chatbot application (ChatGPT)

İbrahim Sarbay, Göksu Bozdereli Berikol, İbrahim Ulaş Özturan

2023 · 54 Zit.

Evaluating the performance of ChatGPT in answering questions related to urolithiasis

Hakan Çakır, Ufuk Çağlar, Oğuzhan Yıldız et al.

2023 · 52 Zit.

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

Esma Çerekçi, Deniz Alış, Nurper Denizoğlu et al.

2024 · 35 Zit.

Urological Cancers and ChatGPT: Assessing the Quality of Information and Possible Risks for Patients

Faruk Ozgor, Ufuk Çağlar, Ahmet Halis et al.

2024 · 29 Zit.

Predicting intra‐operative and postoperative consequential events using machine‐learning techniques in patients undergoing robot‐assisted partial nephrectomy: a Vattikuti Collective Quality Initiative database study

Mahendra Bhandari, Anubhav Reddy Nallabasannagari, Madhu Reddiboina et al.

2020 · 28 Zit.

Evaluating ChatGPT ability to answer urinary tract Infection-Related questions

Hakan Çakır, Ufuk Çağlar, Sami Sekkeli et al.

2024 · 25 Zit.

Physicians’ ethical concerns about artificial intelligence in medicine: a qualitative study: “The final decision should rest with a human”

Fatma Kahraman, Ayşenur Aktaş, Serra Bayrakceken et al.

2024 · 18 Zit.

Is the information provided by large language models valid in educating patients about adolescent idiopathic scoliosis? An evaluation of content, clarity, and empathy

Siegmund Lang, Jacopo Antonino Vitale, Fabio Galbusera et al.

2024 · 14 Zit.

Artificial intelligence in echocardiography: Review and limitations including epistemological concerns

Gültekin Karakuş, Aleks Değirmencioğlu, Navin C. Nanda

2022 · 10 Zit.

The efficacy of artificial intelligence (AI) in detecting interval cancers in the national screening program of a middle-income country

Levent Çelik, Erkin Arıbal

2024 · 6 Zit.

Can ChatGPT detect breast cancer on mammography?

Deniz Esin Tekcan Şanlı, Ahmet Necati Şanlı, Düzgün Yıldırım et al.

2025 · 6 Zit.

Assessing the Relationship Between Traditional Citation-based Metrics and New Metrics (Altmetrics / Dimensions / Number of Tweets) in COVID-19 & Eye Research

Ali Rıza Cenk Çelebi, Erkan Bulut, Sümeyra Köprübaşı et al.

2022 · 2 Zit.

15. Use of predictive machine learning models at the population level has the potential to save cost by directing economic resources to those likely to improve most: a simulation analysis stratified by risk in largest combined US/European ASD registry

Rushikesh S. Joshi, Miquel Serra‐Burriel, Ferrán Pellisé et al.

2020 · 2 Zit.

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

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

2025 · 2 Zit.