Felipe Kitamura

Federated learning for predicting clinical outcomes in patients with COVID-19

2021 · 657 Zit. · Nature Medicine

The RSNA Pediatric Bone Age Machine Learning Challenge

2018 · 441 Zit. · Radiology

ChatGPT Is Shaping the Future of Medical Writing But Still Requires Human Judgment

2023 · 317 Zit. · Radiology

Magician’s Corner: 9. Performance Metrics for Machine Learning Models

2021 · 271 Zit. · Radiology Artificial Intelligence

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

2024 · 245 Zit. · Radiology Artificial Intelligence

Deep Learning in Neuroradiology: A Systematic Review of Current Algorithms and Approaches for the New Wave of Imaging Technology

2020 · 99 Zit. · Radiology Artificial Intelligence

Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays

2023 · 84 Zit. · Scientific Reports

Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations

2023 · 47 Zit. · Radiology Artificial Intelligence

Federated Learning used for predicting outcomes in SARS-COV-2 patients

2021 · 44 Zit.

Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients

2025 · 29 Zit. · JAMA Network Open

Trustworthiness of Artificial Intelligence Models in Radiology and the Role of Explainability

2021 · 24 Zit. · Journal of the American College of Radiology

Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts

2024 · 23 Zit. · Radiology Artificial Intelligence

Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review

2023 · 21 Zit. · Journal of Digital Imaging

From Bench to Bedside With Large Language Models: <i>AJR</i> Expert Panel Narrative Review

2024 · 21 Zit. · American Journal of Roentgenology

Natural Language Processing of Radiology Text Reports: Interactive Text Classification

2021 · 18 Zit. · Radiology Artificial Intelligence