Xinyue Huang

Papers

Total Citations

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About

Xinyue Huang is a pioneering researcher at the intersection of artificial intelligence and oncology, with a primary focus on head and neck tumor management. Their most-cited work, "Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives" (2023), has garnered 63 citations, reflecting its significant impact on the field. This seminal paper synthesizes AI-driven approaches—from diagnostic imaging to treatment planning—offering a comprehensive framework that bridges computational innovation with clinical practice. Huang’s contributions extend beyond technical advancement; they emphasize the practical integration of machine learning models into existing healthcare workflows, addressing challenges in tumor segmentation, prognosis prediction, and personalized therapy. By highlighting the potential of AI to reduce diagnostic errors and optimize resource allocation, Huang has positioned themselves as a key voice in the push toward precision medicine. Their work not only advances academic understanding but also provides actionable insights for clinicians and researchers navigating the complexities of head and neck cancers. With a growing citation record and a focus on translational impact, Xinyue Huang continues to shape the future of AI-assisted oncology, inspiring students and peers alike to explore the transformative power of interdisciplinary research.