İstanbul Başakşehir Çam ve Sakura Şehir Hastanesi

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

Burak Koçak, Bettina Baeßler, Spyridon Bakas et al.

2023 · 376 Zit.

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions

Tugba Akinci D’Antonoli, Arnaldo Stanzione, Christian Bluethgen et al.

2023 · 185 Zit.

Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

Burak Koçak, Andrea Ponsiglione, Arnaldo Stanzione et al.

2024 · 108 Zit.

Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning

Burak Koçak, Renato Cuocolo, Daniel Santos et al.

2022 · 57 Zit.

Trends and statistics of artificial intelligence and radiomics research in Radiology, Nuclear Medicine, and Medical Imaging: bibliometric analysis

Burak Koçak, Bettina Baeßler, Renato Cuocolo et al.

2023 · 54 Zit.

How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts

Burak Koçak, Ece Ateş Kuş, Özgür Kılıçkesmez

2020 · 53 Zit.

Information Quality and Readability: ChatGPT's Responses to the Most Common Questions About Spinal Cord Injury

Mustafa Hüseyin Temel, Yakup Erden, Fatih Bağcıer

2023 · 48 Zit.

NEgatiVE results in Radiomics research (NEVER): A meta-research study of publication bias in leading radiology journals

Burak Koçak, Elif Bulut, Osman Nuri Bayrak et al.

2023 · 27 Zit.

Transparency in Artificial Intelligence Research: a Systematic Review of Availability Items Related to Open Science in Radiology and Nuclear Medicine

Burak Koçak, Aytül Hande Yardımcı, Sabahattin Yüzkan et al.

2022 · 23 Zit.

Artificial intelligence insights into osteoporosis: assessing ChatGPT’s information quality and readability

Yakup Erden, Mustafa Hüseyin Temel, Fatih Bağcıer

2024 · 20 Zit.

Evaluation metrics in medical imaging AI: fundamentals, pitfalls, misapplications, and recommendations

Burak Koçak, Michail E. Klontzas, Arnaldo Stanzione et al.

2025 · 19 Zit.

Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM

Burak Koçak, Ali Keleş, Tugba Akinci D’Antonoli

2023 · 19 Zit.

Self-reported checklists and quality scoring tools in radiomics: a meta-research

Burak Koçak, Tugba Akinci D’Antonoli, Ece Ateş Kuş et al.

2024 · 18 Zit.

Recognising errors in AI implementation in radiology: A narrative review

Nikolaos Stogiannos, Renato Cuocolo, Tugba Akinci D’Antonoli et al.

2025 · 13 Zit.

The accuracy of AI-assisted chatbots on the annual assessment test for emergency medicine residents

Banu Arslan, Gökhan Eyüpoğlu, Semih Korkut et al.

2024 · 13 Zit.