Pourakbar, N.; Motamedi, A.; Pashapour, M.; Sharifi, M.E.; Sharabiani, S.S.; Fazlollahi, A.; Abdollahi, H.; Rahmim, A.; Rezaei, S.
Effectiveness of Artificial Intelligence Models in Predicting Lung Cancer Recurrence: A Gene Biomarker-Driven Review. Cancers 2025, 17, 1892.
https://doi.org/10.3390/cancers17111892
AMA Style
Pourakbar N, Motamedi A, Pashapour M, Sharifi ME, Sharabiani SS, Fazlollahi A, Abdollahi H, Rahmim A, Rezaei S.
Effectiveness of Artificial Intelligence Models in Predicting Lung Cancer Recurrence: A Gene Biomarker-Driven Review. Cancers. 2025; 17(11):1892.
https://doi.org/10.3390/cancers17111892
Chicago/Turabian Style
Pourakbar, Niloufar, Alireza Motamedi, Mahta Pashapour, Mohammad Emad Sharifi, Seyedemad Seyedgholami Sharabiani, Asra Fazlollahi, Hamid Abdollahi, Arman Rahmim, and Sahar Rezaei.
2025. "Effectiveness of Artificial Intelligence Models in Predicting Lung Cancer Recurrence: A Gene Biomarker-Driven Review" Cancers 17, no. 11: 1892.
https://doi.org/10.3390/cancers17111892
APA Style
Pourakbar, N., Motamedi, A., Pashapour, M., Sharifi, M. E., Sharabiani, S. S., Fazlollahi, A., Abdollahi, H., Rahmim, A., & Rezaei, S.
(2025). Effectiveness of Artificial Intelligence Models in Predicting Lung Cancer Recurrence: A Gene Biomarker-Driven Review. Cancers, 17(11), 1892.
https://doi.org/10.3390/cancers17111892
