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Response to “Converging Evidence on the Strengths and Limits of Multimodal Large Language Models in Medicine: Comment on Günay-Polatkan et al.”

Cilt: 52 23 Ekim 2026
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Response to “Converging Evidence on the Strengths and Limits of Multimodal Large Language Models in Medicine: Comment on Günay-Polatkan et al.”

Öz

Healthcare is one of the many industries where large language models (LLMs) are making steady progress. Similar to a personal assistant, artificial intelligence (AI) is a potent and time-saving healthcare aid, but it is essentially unable to take the place of human clinicians' crucial decision-making. The development of multimodal transformers offers enormous promise by concurrently analyzing text, pictures, and structured data.

Anahtar Kelimeler

Kaynakça

  1. 1. Günay Polatkan Ş, Sığırlı D, Durak VA, Alak Ç, Kan II. Performance of generative AI models on cardiology practice in emergency service: a pilot evaluation of GPT-4.o and Gemini-1.5-Flash. J Uludag Univ Med Fac. 2025;51(2):239-246. doi:10.32708/uutfd.1718121
  2. 2. Eloundou T, Manning S, Mishkin P, Rock D. GPTs are GPTs: an early look at the labor market impact potential of large language models. Published online March 17, 2023. arXiv:2303.10130 [econ.GN]. doi:10.48550/arXiv.2303.10130
  3. 3. Judge CS, Krewer F, O'Donnell MJ, et al. Multimodal artificial intelligence in medicine. Kidney360. 2024;5(11):1771-1779. doi:10.34067/KID.0000000000000556
  4. 4. Horiuchi D, Tatekawa H, Oura T, et al. ChatGPT's diagnostic performance based on textual vs. visual information compared to radiologists' diagnostic performance in musculoskeletal radiology. Eur Radiol. 2025;35(1):506-516. doi:10.1007/s00330-024-10902-5

Ayrıntılar

Birincil Dil

İngilizce

Konular

Klinik Tıp Bilimleri (Diğer)

Bölüm

Editöre Mektup

Yazarlar

Yayımlanma Tarihi

23 Ekim 2026

Gönderilme Tarihi

27 Eylül 2026

Kabul Tarihi

23 Ekim 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 52

DOI

https://doi.org/10.32708/uutfd.2048637

IZ

https://izlik.org/JA36CG72XP

Kaynak Göster

RIS / Bibtex
APA
Günay Polatkan, Ş. (2026). Response to “Converging Evidence on the Strengths and Limits of Multimodal Large Language Models in Medicine: Comment on Günay-Polatkan et al.”. Journal of Uludağ University Medical Faculty, 52. https://doi.org/10.32708/uutfd.2048637
AMA
1.Günay Polatkan Ş. Response to “Converging Evidence on the Strengths and Limits of Multimodal Large Language Models in Medicine: Comment on Günay-Polatkan et al.”. Uludağ Üniv Tıp Fak Derg. 2026;52. doi:10.32708/uutfd.2048637
Chicago
Günay Polatkan, Şeyda. 2026. “Response to ‘Converging Evidence on the Strengths and Limits of Multimodal Large Language Models in Medicine: Comment on Günay-Polatkan et al.’”. Journal of Uludağ University Medical Faculty 52 (Ekim). https://doi.org/10.32708/uutfd.2048637.
EndNote
Günay Polatkan Ş (01 Ekim 2026) Response to “Converging Evidence on the Strengths and Limits of Multimodal Large Language Models in Medicine: Comment on Günay-Polatkan et al.”. Journal of Uludağ University Medical Faculty 52
IEEE
[1]Ş. Günay Polatkan, “Response to ‘Converging Evidence on the Strengths and Limits of Multimodal Large Language Models in Medicine: Comment on Günay-Polatkan et al.’”, Uludağ Üniv Tıp Fak Derg, c. 52, Eki. 2026, doi: 10.32708/uutfd.2048637.
ISNAD
Günay Polatkan, Şeyda. “Response to ‘Converging Evidence on the Strengths and Limits of Multimodal Large Language Models in Medicine: Comment on Günay-Polatkan et al.’”. Journal of Uludağ University Medical Faculty 52 (01 Ekim 2026). https://doi.org/10.32708/uutfd.2048637.
JAMA
1.Günay Polatkan Ş. Response to “Converging Evidence on the Strengths and Limits of Multimodal Large Language Models in Medicine: Comment on Günay-Polatkan et al.”. Uludağ Üniv Tıp Fak Derg. 2026;52. doi:10.32708/uutfd.2048637.
MLA
Günay Polatkan, Şeyda. “Response to ‘Converging Evidence on the Strengths and Limits of Multimodal Large Language Models in Medicine: Comment on Günay-Polatkan et al.’”. Journal of Uludağ University Medical Faculty, c. 52, Ekim 2026, doi:10.32708/uutfd.2048637.
Vancouver
1.Şeyda Günay Polatkan. Response to “Converging Evidence on the Strengths and Limits of Multimodal Large Language Models in Medicine: Comment on Günay-Polatkan et al.”. Uludağ Üniv Tıp Fak Derg. 01 Ekim 2026;52. doi:10.32708/uutfd.2048637

ISSN: 1300-414X, e-ISSN: 2645-9027

Uludağ Üniversitesi Tıp Fakültesi Dergisi "Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License" ile lisanslanmaktadır.


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Journal of Uludag University Medical Faculty is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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