Prediction of postoperative intensive care unit admission with artificial intelligence models in non-small cell lung carcinoma
Using our method deep learning models predicted the need for intensive care unit admission with high success and confidence values. The use of artificial intelligence algorithms for the necessity of intensive care hospitalization will ensure that postoperative processes are carried out safely using objective decision mechanisms.
Authors
- Ezel Erşen (ORCID: https://orcid.org/0000-0002-0278-5468)
- Akif Turna (ORCID: https://orcid.org/0000-0003-3229-830X)
- Gizem Özçıbık Işık (ORCID: https://orcid.org/0000-0002-1448-2448)
- Hasan Volkan Kara (ORCID: https://orcid.org/0000-0001-7702-9731)
- Tülay Yıldırım (ORCID: https://orcid.org/0000-0001-9993-5583)
- Burcu Kılıç
- Mehmet Kaynak (ORCID: https://orcid.org/0000-0002-4020-7554)
- Onur Sefa Özçıbık
Institutions
- Yıldız Technical University (TR)
- Istanbul University-Cerrahpaşa (TR)
- Boğaziçi University (TR)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1186/s40001-025-02553-z
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36