Alan-Özgü Yapay Zekâya Doğru: Radyolojide Küçük Dil Modellerinin Potansiyeli

Yıl 2025, Cilt: 5 Sayı: 3, 1 - 2, 30.12.2025

Ali Şalbaş , Atilla Hikmet Çilengir

https://izlik.org/JA44SZ47LG

Öz

Bu çalışma editöre mektup türünde olduğu için özet bölümü bulunmamaktadır.

Anahtar Kelimeler

Yapay zekâ , Küçük dil modelleri , Radyoloji

Etik Beyan

Bu çalışma editöre mektup niteliğinde olup insan veya hayvan verisi içermediğinden etik kurul onayı gerekmemektedir.

Destekleyen Kurum

Yok.

Teşekkür

Herhangi bir teşekkür beyanı bulunmamaktadır.

Toward Domain-Specific AI: The Potential of Small Language Models in Radiology

https://izlik.org/JA44SZ47LG

Öz

As this submission is a letter to the editor, an abstract is not included.

Anahtar Kelimeler

Artificial intelligence , Small language models , Radiology

Etik Beyan

This submission is a letter to the editor and does not involve human or animal subjects; therefore, ethical approval is not required.

Destekleyen Kurum

None.

Teşekkür

The authors have no acknowledgments to declare..

Kaynakça

• 1- Alkalbani AM, Alrawahi AS, Salah A, et al. A systematic review of large language models in medical specialties: applications, challenges and future directions. Inform. 2025;16(6):489. doi:10.3390/info16060489
• 2- Bhayana R. Chatbots and large language models in radiology: a practical primer for clinical and research applications. Radiology. 2024;310(1):e232756. doi:10.1148/radiol.232756
• 3- Nakaura T, Ito R, Ueda D, et al. The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI. Jpn J Radiol. 2024;42:685-696. doi:10.1007/s11604-024-01552-0
• 4- Salbas A, Buyuktoka RE. Performance of large language models in recognizing brain MRI sequences: a comparative analysis of ChatGPT-4o, Claude 4 Opus, and Gemini 2.5 Pro. Diagnostics (Basel). 2025;15(15):1919. doi:10.3390/diagnostics15151919
• 5- Salbas A, Yogurtcu M. Performance of large language models on radiology residency in-training examination questions. Acad Radiol. Published online November 11, 2025. doi:10.1016/j.acra.2025.10.043
• 6- Akinci D'Antonoli T, Stanzione A, Bluethgen C, et al. Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions. Diagn Interv Radiol. 2024;30(2):80-90. doi:10.4274/dir.2023.232417
• 7- Ranjit M, Srivastav S, Ganu T. RadPhi-3: small language models for radiology. arXiv preprint arXiv:2411.13604. Published online 2024. doi:10.48550/arXiv.2411.13604