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The future of diagnosis: artificial intelligence and advancing technologies in radiology

Cilt: 49 Sayı: 3 30 Eylül 2024
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The future of diagnosis: artificial intelligence and advancing technologies in radiology

Öz

The transformative impact of AI on radiology extends across a broad spectrum from emergency cases to chronic diseases and oncological conditions. The documented successes underscore the critical role of ongoing research in this field, emphasizing its paramount importance in enhancing diagnostic accuracy, saving lives, and providing improved services to healthcare professionals

Anahtar Kelimeler

Radiology, Artificial Intelligence, Diagnosis, Advanced Technologies, Healthcare

Destekleyen Kurum

No funding was obtained for this study.

Etik Beyan

The procedure followed institutional ethics and complied with the WMA Declaration of Helsinki for medical research involving human subjects.

Teşekkür

Not applicable.

Kaynakça

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  2. Driver CN, Bowles BS, Bartholmai BJ, Greenberg-Worisek AJ. Artificial intelligence in radiology: a call for thoughtful application. Clin Transl Sci. 2020;13:216.
  3. Chassagnon G, Vakalopoulou M, Paragios N, Revel MP. Artificial intelligence applications for thoracic imaging. Eur J Radiol. 2020; 123:108774.
  4. Lipkova J, Chen RJ, Chen B, Lu MY, Barbieri M, Shao D et al. Artificial intelligence for multimodal data integration in oncology. Cancer Cell. 2022;40:1095-110.
  5. Couture HD, Williams LA, Geradts J, Nyante SJ, Butler EN, Marron JS et al. Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype. NPJ Breast Cancer. 2018;4:30.
  6. Cellina M, Cè M, Irmici G, Ascenti V, Caloro E, Bianchi L et al. Artificial intelligence in emergency radiology: where are we going? Diagnostics. 2022;12:3223.
  7. Stahl BC, Antoniou J, Ryan M, Macnish K, Jiya T. Organisational responses to the ethical issues of artificial intelligence. AI Soc. 2022;37:23-37.
  8. Coughlin S, Roberts D, O’Neill K, Brooks P. Looking to tomorrow’s healthcare today: a participatory health perspective. Intern Med J. 2018;48:92-6.

Kaynak Göster

APA
Bozer, A. (2024). The future of diagnosis: artificial intelligence and advancing technologies in radiology. Cukurova Medical Journal, 49(3), 844-845. https://doi.org/10.17826/cumj.1377100
AMA
1.Bozer A. The future of diagnosis: artificial intelligence and advancing technologies in radiology. Cukurova Med J. 2024;49(3):844-845. doi:10.17826/cumj.1377100
Chicago
Bozer, Ahmet. 2024. “The future of diagnosis: artificial intelligence and advancing technologies in radiology”. Cukurova Medical Journal 49 (3): 844-45. https://doi.org/10.17826/cumj.1377100.
EndNote
Bozer A (01 Eylül 2024) The future of diagnosis: artificial intelligence and advancing technologies in radiology. Cukurova Medical Journal 49 3 844–845.
IEEE
[1]A. Bozer, “The future of diagnosis: artificial intelligence and advancing technologies in radiology”, Cukurova Med J, c. 49, sy 3, ss. 844–845, Eyl. 2024, doi: 10.17826/cumj.1377100.
ISNAD
Bozer, Ahmet. “The future of diagnosis: artificial intelligence and advancing technologies in radiology”. Cukurova Medical Journal 49/3 (01 Eylül 2024): 844-845. https://doi.org/10.17826/cumj.1377100.
JAMA
1.Bozer A. The future of diagnosis: artificial intelligence and advancing technologies in radiology. Cukurova Med J. 2024;49:844–845.
MLA
Bozer, Ahmet. “The future of diagnosis: artificial intelligence and advancing technologies in radiology”. Cukurova Medical Journal, c. 49, sy 3, Eylül 2024, ss. 844-5, doi:10.17826/cumj.1377100.
Vancouver
1.Ahmet Bozer. The future of diagnosis: artificial intelligence and advancing technologies in radiology. Cukurova Med J. 01 Eylül 2024;49(3):844-5. doi:10.17826/cumj.1377100