医学
头颈部癌
无线电技术
头颈外科
头颈部
淋巴结转移
放射科
放射治疗计划
手术计划
医学物理学
普通外科
癌症
外科
转移
人工智能
耳鼻咽喉科
放射治疗
内科学
计算机科学
作者
Jamie R. Oliver,Rahul Alapati,Jason T. Lee,Andrés M. Bur
标识
DOI:10.1016/j.otc.2024.05.001
摘要
This article explores artificial intelligence's (AI's) role in otolaryngology for head and neck cancer diagnosis and management. It highlights AI's potential in pattern recognition for early cancer detection, prognostication, and treatment planning, primarily through image analysis using clinical, endoscopic, and histopathologic images. Radiomics is also discussed at length, as well as the many ways that radiologic image analysis can be utilized, including for diagnosis, lymph node metastasis prediction, and evaluation of treatment response. The study highlights AI's promise and limitations, underlining the need for clinician-data scientist collaboration to enhance head and neck cancer care.
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