Gilmer Valdés

MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision Medicine

2016 · 122 Zit. · Scientific Reports

The application of artificial intelligence in the IMRT planning process for head and neck cancer

2018 · 75 Zit. · Oral Oncology

Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency

2022 · 71 Zit. · Physics in Medicine and Biology

Machine learning for radiation outcome modeling and prediction

2020 · 54 Zit. · Medical Physics

Preoperative and postoperative prediction of long-term meningioma outcomes

2018 · 51 Zit. · PLoS ONE

The Future of Artificial Intelligence in Radiation Oncology

2018 · 18 Zit. · International Journal of Radiation Oncology*Biology*Physics

The Accuracy of Artificial Intelligence ChatGPT in Oncology Examination Questions

2024 · 15 Zit. · Journal of the American College of Radiology

Deep Learning Misuse in Radiation Oncology

2018 · 5 Zit. · International Journal of Radiation Oncology*Biology*Physics

ChatGPT Versus DeepSeek: Assessing Artificial Intelligence Performance on Radiation Oncology Examination Questions

2025 · 2 Zit. · Advances in Radiation Oncology

Clinical Reasoning AI for Oncology Treatment Planning: A Multi-Specialty Case-Based Evaluation

2026 · 0 Zit. · arXiv (Cornell University)

TheBlueScrubs-v1, a comprehensive curated medical dataset derived from the internet

2025 · 0 Zit. · ArXiv.org

WITHDRAWN: 4P TheBlueScrubs-v1: A large-scale curated dataset with ∼11 billion oncology tokens for AI-driven cancer research

2025 · 0 Zit. · Annals of Oncology

EP-2163: Deep Neural Networks vs Medical Physicists: An IMRT QA case study

2018 · 0 Zit. · Radiotherapy and Oncology

BPI26-015: Complementing NCCN Guidelines With a Clinician-Guided AI Reasoning Platform: Evaluation of The BlueScrubs

2026 · 0 Zit. · Journal of the National Comprehensive Cancer Network

Clinical Reasoning AI for Oncology Treatment Planning: A Multi-Specialty Case-Based Evaluation

2026 · 0 Zit. · arXiv (Cornell University)