Universidade Estadual de Feira de Santana
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Deduplicating records in systematic reviews: there are free, accurate automated ways to do so
Nathália Sernizon Guimarães, Andrêa Jacqueline Fortes Ferreira, Rita de Cássia Ribeiro‐Silva et al.
2022 · 69 Zit.
Use of ChatGPT in Urology and its Relevance in Clinical Practice: Is it useful?
Antonio Vitor Nascimento Martinelli Braga, Noel Charlles Nunes, Emanoel Nascimento Santos et al.
2024 · 19 Zit.
Early identification of ICU patients at risk of complications: Regularization based on robustness and stability of explanations
Tiago Amador, Saulo Fernandes Saturnino, Adriano Veloso et al.
2022 · 16 Zit.
Conformity of ChatGPT recommendations with the AUA/SUFU guideline on postprostatectomy urinary incontinence
Vicktor Bruno Pereira Pinto, Matheus F. de Azevedo, Marcelo Langer Wroclawski et al.
2024 · 15 Zit.
Uncertainty-aware membranous nephropathy classification: A Monte-Carlo dropout approach to detect how certain is the model
Paulo Chagas, Luiz Souza, Izabelle Pontes et al.
2022 · 9 Zit.
Diagnosis in Bytes: Comparing the Diagnostic Accuracy of Google and ChatGPT 3.5 as an Educational Support Tool
Guilherme Rodrigues Guimarães, Ricardo G. Figueiredo, Caroline Santos Silva et al.
2024 · 4 Zit.
Performance of ChatGPT and DeepSeek in the Management of Postprostatectomy Urinary Incontinence
Vicktor Bruno Pereira Pinto, Romullo José Costa Ataídes, Leonel Alves do Nascimento et al.
2025 · 3 Zit.
Toward unbounded open-set recognition to say "I don't know" for glomerular multi-lesion classification
Paulo Chagas, Luiz Souza, Rodrigo Tripodi Calumby et al.
2021 · 3 Zit.
Use of ChatGPT in Pediatric Urology and its Relevance in Clinical Practice: Is it useful?
Antonio Vitor Nascimento Martinelli Braga, Antonio Vitor Nascimento Martinelli Braga, Noel Charlles Nunes et al.
2023 · 3 Zit.
Evaluation of the accuracy of ChatGPT in answering asthma-related questions
Bruno Pellozo Cerqueira, Vinicius Cappellette da Silva Leite, Carolina da Franca et al.
2025 · 3 Zit.
Deep-learning-based membranous nephropathy classification and Monte-Carlo dropout uncertainty estimation
Paulo Chagas, Luiz Souza, Izabelle Pontes et al.
2021 · 2 Zit.
The Use of Artificial Intelligence in Patient Triage in Emergency Departments: an Integrative Review
Milva Alves Magalhães, Carine Vitória Lemes Ferreira, Heluza Monteiro de Oliveira et al.
2024 · 2 Zit.
Towards Effective and Reliable Data-driven Prognostication: An Application to COVID-19
José Solenir L. Figuerêdo, Renata Freitas de Araujo Oliveira, Rodrigo Tripodi Calumby
2023 · 0 Zit.
PathoSpotter: Angewandte Rechnerintelligenz in der Nephropathologie
Luciano Oliveira, Paulo Chagas, Ângelo Duarte et al.
2024 · 0 Zit.
Content Validity of AI-Generated Medical Information on Idiopathic Pulmonary Fibrosis (IPF): A Comparative Analysis of ChatGPT-4 and Gemini 1.5 Pro
Andreas Hoheisel, Björn C. Frye, Juan Carlos Calderón et al.
2025 · 0 Zit.