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radiation-oncology / radiation-oncologyHead and Neck Cancer

Clifton David Fuller

克利夫顿·大卫·富勒

MD, PhD

🏢The University of Texas MD Anderson Cancer Center(德克萨斯大学MD安德森癌症中心)🌐USA

Professor and Associate Division Head of Radiation Oncology放射肿瘤学教授兼副主任

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Key Papers
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Awards
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Key Contributions

👥Biography 个人简介

Clifton David Fuller is a pioneer in adaptive radiotherapy and artificial intelligence applications for head and neck cancer treatment at MD Anderson. He leads large international consortia applying machine learning, radiomics, and online adaptive MR-guided radiotherapy to personalize and improve head and neck cancer outcomes.

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🧪Research Fields 研究领域

Radiation Oncology放射肿瘤学
Head and Neck Cancer头颈部癌症
Adaptive Radiotherapy自适应放疗
Artificial Intelligence人工智能

🎓Key Contributions 主要贡献

MR-Guided Adaptive Radiotherapy

Led clinical implementation of online adaptive MR-guided radiotherapy for head and neck cancer, enabling real-time plan adaptation that reduces xerostomia and improves quality of life.

AI and Radiomics in Radiation Oncology

Directed TCIA and international radiomics consortia developing AI-based tools for automated segmentation, outcome prediction, and treatment response assessment in head and neck cancer.

Representative Works 代表性著作

[1]

Prospective randomized trial of online adaptive radiotherapy for head and neck cancer

Journal of Clinical Oncology (2023)

Demonstrated that online adaptive radiotherapy significantly reduces salivary gland dose and patient-reported xerostomia compared to standard IMRT.

[2]

Artificial intelligence in radiation oncology: a specialty-wide disruptive transformation?

Radiotherapy and Oncology (2020)

Comprehensive review establishing the transformative potential of AI across the radiotherapy workflow from segmentation to outcome prediction.

🏆Awards & Recognition 奖项与荣誉

🏆ASTRO Fellow
🏆NCI Outstanding Investigator Award
🏆MD Anderson Cancer Center Faculty Achievement Award

📄Data Sources 数据来源

Last updated: 2026-01-15 | All information from publicly available academic sources

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