Artificial intelligence for predicting response to neoadjuvant chemotherapy for bladder cancer a comprehensive systematic review and meta-analysis (2024)
- Authors:
- Autor USP: NAHAS, WILLIAM CARLOS - FM
- Unidade: FM
- DOI: 10.5489/cuaj.8681
- Subjects: NEOPLASIAS; REVISÃO SISTEMÁTICA; INTELIGÊNCIA ARTIFICIAL; QUIMIOTERAPIA ADJUVANTE
- Language: Inglês
- Objetivos de Desenvolvimento Sustentável (ODS):
03. Saúde e bem-estar
- Imprenta:
- Source:
- Título: Cuaj- canadian urological association journal
- ISSN: 1911-6470
- Volume/Número/Paginação/Ano: v. 18, n. 9, p. E276-E284, 2024
- Este artigo possui versão em acesso aberto
- URL de acesso aberto
- PDF de acesso aberto
- Versão do Documento: Versão publicada (Published version)
-
Status: Artigo publicado em periódico de acesso aberto (Gold Open Access) -
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: 11 mar. 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.8681 -
NLM
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 mar. 11 ] Available from: https://observatorio.fm.usp.br/handle/OPI/79413 -
Vancouver
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 mar. 11 ] Available from: https://observatorio.fm.usp.br/handle/OPI/79413 - COVID-19 among kidney-transplant recipients requiring hospitalization. [Carta]: preliminary data and outcomes from a single-center in Brazil
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