Articles

Artificial Intelligence and Informatics - Review

Educating the next generation of radiologists: a comparative report of ChatGPT and e-learning resources

İsmail Meşe
Ceylan Altıntaş Taşlıçay
Beyza Nur Kuzan
Taha Yusuf Kuzan
Ali Kemal Sivrioğlu

Diagn Interv Radiol 0; 0: 0-0 [e-Pub] DOI: 10.4274/dir.2023.232496 PMID:38145370

Artificial intelligence in diagnostic ultrasonography

Oğuz Dicle

Diagn Interv Radiol 2023; 29: 40-45 DOI: 10.4274/dir.2022.211260 PMID:36959754

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

Tugba Akinci D’Antonoli
Arnaldo Stanzione
Christian Bluethgen
Federica Vernuccio
Lorenzo Ugga
Michail E. Klontzas
Renato Cuocolo
Roberto Cannella
Burak Koçak

Diagn Interv Radiol 2024; 30: 80-90 DOI: 10.4274/dir.2023.232417 PMID:37789676

Key concepts, common pitfalls, and best practices in artificial intelligence and machine learning: focus on radiomics

Burak Koçak

Diagn Interv Radiol 2022; 28: 450-462 DOI: 10.5152/dir.2022.211297

Abdominal Imaging - Review

Artificial intelligence at the intersection of pathology and radiology in prostate cancer

Stephanie A. Harmon
Sena Tuncer
Thomas Sanford
Peter L. Choyke
Barış Türkbey

Diagn Interv Radiol 2019; 25: 183-188 DOI: 10.5152/dir.2019.19125

Breast Imaging - Original Article

Prediction of malignancy upgrade rate in high-risk breast lesions using an artificial intelligence model: a retrospective study

Özge Aslan
Ayşenur Oktay
Başak Katuk
Riza Cenk Erdur
Oğuz Dikenelli
Levent Yeniay
Osman Zekioğlu
Süha Süreyya Özbek

Diagn Interv Radiol 2023; 29: 260-267 DOI: 10.5152/dir.2022.211047 PMID:36987868

Chest Imaging - Review

A review on the use of artificial intelligence for medical imaging of the lungs of patients with coronavirus disease 2019

Rintaro Ito
Shingo Iwano
Shinji Naganawa

Diagn Interv Radiol 2020; 26: 443-448 DOI: 10.5152/dir.2019.20294

Unspecified - Review

Radiomics with artificial intelligence: a practical guide for beginners

Burak Koçak
Emine Şebnem Durmaz
Ece Ateş
Özgür Kılıçkesmez

Diagn Interv Radiol 2019; 25: 485-495 DOI: 10.5152/dir.2019.19321

Ethical considerations for artificial intelligence: an overview of the current radiology landscape

Tugba Akinci D'Antonoli

Diagn Interv Radiol 2020; 26: 504-511 DOI: 10.5152/dir.2020.19279

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