Rao Karthik N, Fernandez-Alvarez Veronica, Guntinas-Lichius Orlando, Sreeram M P, de Bree Remco, Kowalski Luiz P, Forastiere Arlene, Pace-Asciak Pia, Rodrigo Juan P, Saba Nabil F, Ronen Ohad, Florek Ewa, Randolph Gregory W, Sanabria Alvaro, Vermorken Jan B, Hanna Ehab Y, Ferlito Alfio
Department of Head and Neck Oncology, Sri Shankara Cancer Foundation, Bangalore, India.
Department of Vascular and Endovascular Surgery, Hospital Universitario Central de Asturias, Oviedo, Spain.
Adv Ther. 2025 Jun;42(6):2559-2568. doi: 10.1007/s12325-025-03198-4. Epub 2025 Apr 29.
Artificial intelligence (AI) is revolutionizing head and neck oncology, offering innovations in tumor detection, treatment planning, and patient management. However, its integration into clinical practice is hindered by several limitations. These include clinician mistrust due to a lack of understanding of AI mechanisms, biases in algorithm development, and the potential over-reliance on technology, which may undermine clinical expertise. Data-related challenges, such as inconsistent quality and limited representativeness of datasets, further complicate AI's application. Ethical, legal, and privacy concerns also pose significant barriers. Addressing these issues through transparent AI systems, clinician education, and clear regulations is essential for ensuring responsible, equitable use in head and neck oncology. This manuscript explores the limitations of AI in head and neck oncology.
人工智能（AI）正在彻底改变头颈肿瘤学，在肿瘤检测、治疗规划和患者管理方面带来创新。然而，其在临床实践中的整合受到若干限制。这些限制包括临床医生因对人工智能机制缺乏了解而产生的不信任、算法开发中的偏差，以及对技术的潜在过度依赖，这可能会削弱临床专业知识。与数据相关的挑战，如数据集质量不一致和代表性有限，使人工智能的应用更加复杂。伦理、法律和隐私问题也构成了重大障碍。通过透明的人工智能系统、临床医生教育和明确的法规来解决这些问题，对于确保在头颈肿瘤学中负责任、公平地使用人工智能至关重要。本手稿探讨了人工智能在头颈肿瘤学中的局限性。
