ReviewMolecular and clinical oncology2026
Application of artificial intelligence in early warning, diagnosis and precise treatment of head and neck tumors (Review).
Review in Molecular and clinical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
3 authors.
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Abstract
Head and neck tumors face challenges in clinical practice such as difficulty in early warning, delayed diagnosis, and insufficient individualized treatment due to their complex anatomical structure and insidious early symptoms. In recent years, the rapid development of artificial intelligence (AI) technology in the medical field has brought new opportunities for the diagnosis and treatment of head and neck tumors. With its powerful data processing and pattern recognition capabilities, it provides new ideas for solving problems related to early cancer diagnosis, planning optimal treatment strategies, and predicting patient survival likelihood. However, the clinical translation of AI models still faces bottlenecks such as data standardization, model generalization, and ethical compliance. In the future, it is necessary to build a multi-center collaboration platform and develop interpretable algorithms to promote the deep integration of AI technology and clinical practice. The present review analyzes and summarizes the latest progress of AI in head and neck malignant tumors and explores its application and development prospects in cancer research and clinical practice.
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