Source: Cuaj- canadian urological association journal. Unidade: FM
Subjects: NEOPLASIAS, REVISÃO SISTEMÁTICA, INTELIGÊNCIA ARTIFICIAL, QUIMIOTERAPIA ADJUVANTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SUARTZ, Caio Vinicius et al. Artificial intelligence for predicting response to neoadjuvant chemotherapy for bladder cancer a comprehensive systematic review and meta-analysis. Cuaj- canadian urological association journal, v. 18, n. 9, p. E276-E284, 2024Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/79413. Acesso em: 27 abr. 2026.APA
Suartz, C. V., Martinez, L. M., Cordeiro, M. D., Flores, H. A., Kodama, S., Cardili, L., et al. (2024). Artificial intelligence for predicting response to neoadjuvant chemotherapy for bladder cancer a comprehensive systematic review and meta-analysis. Cuaj- canadian urological association journal, 18( 9), E276-E284. doi:10.5489/cuaj.8681NLM
Suartz CV, Martinez LM, Cordeiro MD, Flores HA, Kodama S, Cardili L, Mota JM, Coelho FMA, Bessa junior J de, Nahas WC. Artificial intelligence for predicting response to neoadjuvant chemotherapy for bladder cancer a comprehensive systematic review and meta-analysis [Internet]. Cuaj- canadian urological association journal. 2024 ; 18( 9): E276-E284.[citado 2026 abr. 27 ] Available from: https://observatorio.fm.usp.br/handle/OPI/79413Vancouver
Suartz CV, Martinez LM, Cordeiro MD, Flores HA, Kodama S, Cardili L, Mota JM, Coelho FMA, Bessa junior J de, Nahas WC. Artificial intelligence for predicting response to neoadjuvant chemotherapy for bladder cancer a comprehensive systematic review and meta-analysis [Internet]. Cuaj- canadian urological association journal. 2024 ; 18( 9): E276-E284.[citado 2026 abr. 27 ] Available from: https://observatorio.fm.usp.br/handle/OPI/79413
