Can artificial intelligence models predict hospital stays following non-small cell lung carcinoma surgery?
Artificial intelligence algorithms determined the length of hospital stay after non-small cell lung carcinoma surgery with high accuracy and confidence. During the preoperative period, the estimation of hospital stay length will contribute to personalized patient care.
Authors
- Mehmet Kaynak (ORCID: https://orcid.org/0000-0001-9571-9904)
- 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)
- Burcu Kılıç (ORCID: https://orcid.org/0000-0001-6186-8055)
- Tülay Yıldırım (ORCID: https://orcid.org/0000-0001-9993-5583)
- Onur Sefa Özçıbık
Institutions
- Yıldız Technical University (TR)
- Istanbul University-Cerrahpaşa (TR)
- Yedikule Teaching Hospital (TR)
- Boğaziçi University (TR)
Publication Details
- Journal
- Polish Journal of Cardio-Thoracic Surgery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.5114/kitp.2025.155014
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00