Universidade Federal de São Paulo
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The RSNA Pediatric Bone Age Machine Learning Challenge
Safwan S. Halabi, Luciano M. Prevedello, Jayashree Kalpathy–Cramer et al.
2018 · 453 Zit.
ChatGPT Is Shaping the Future of Medical Writing But Still Requires Human Judgment
Felipe Kitamura
2023 · 320 Zit.
Magician’s Corner: 9. Performance Metrics for Machine Learning Models
Bradley J. Erickson, Felipe Kitamura
2021 · 278 Zit.
Code-free deep learning for multi-modality medical image classification
Edward Korot, Zeyu Guan, Daniel Ferraz et al.
2021 · 167 Zit.
An Overview of Artificial Intelligence in Oncology
Eduardo Moreno Júdice de Mattos Farina, Jacqueline Justino Nabhen, Maria Inez Dacoregio et al.
2022 · 120 Zit.
Recommendations of the International Medical Informatics Association (IMIA) on Education in Biomedical and Health Informatics: Second Revision
Jen Bichel‐Findlay, Sabine Koch, John Mantas et al.
2022 · 90 Zit.
Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays
Susanne Gaube, Harini Suresh, Martina Raue et al.
2023 · 88 Zit.
Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study
Marc Raynaud, Olivier Aubert, Gillian Divard et al.
2021 · 63 Zit.
Digital Education for the Deployment of Artificial Intelligence in Health Care
Fernando Korn Malerbi, Luis Filipe Nakayama, Robyn Gayle Dychiao et al.
2023 · 56 Zit.
Performance of ChatGPT-4 in answering questions from the Brazilian National Examination for Medical Degree Revalidation
Mauro Gobira, Luis Filipe Nakayama, Rodrigo Moreira et al.
2023 · 50 Zit.
Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations
Leonardo C. Almeida, Eduardo Moreno Júdice de Mattos Farina, Paulo Eduardo de Aguiar Kuriki et al.
2023 · 47 Zit.
Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients
Felix Busch, Lena Hoffmann, Lina Xu et al.
2025 · 43 Zit.
Will AI Replace Ophthalmologists?
Edward Korot, Siegfried K. Wagner, Livia Faes et al.
2020 · 37 Zit.
Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São Paulo
Gabriela Irene Garcia Brandes, Giuseppe D’Ippolito, Anderson Gusatti Azzolini et al.
2020 · 30 Zit.
Deep Learning Detection of Sea Fan Neovascularization From Ultra-Widefield Color Fundus Photographs of Patients With Sickle Cell Hemoglobinopathy
Sophie Cai, Felix Parker, Muller Urias et al.
2020 · 30 Zit.