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Introduction <p>This article explores the potential role of artificial intelligence (AI) in enhancing the early detection and diagnosis of head and neck squamous cell carcinoma (HNSCC).</p> Discussion <p>The latest data reflecting the growing disparity in HNSCC incidence and mortality across different regions and socioeconomic groups are reviewed, stressing the importance of early detection in improving outcomes. The potential role of AI in improving the accuracy and consistency of endoscopic procedures, particularly in resource-limited settings with limited access to specialized healthcare is discussed. By analyzing current technologies and case studies, the review highlights how AI can democratize access to early cancer detection, improve survival rates, and reduce the financial burden on patients. The integration of AI into healthcare systems can lead to significant cost savings and enhanced accessibility, particularly in underserved populations, where HNSCC is projected to rise dramatically in the coming decades.</p>

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Democratizing cancer detection: artificial intelligence-enhanced endoscopy could address global disparities in head and neck cancer outcomes

  • 期刊论文

  • 发表日期：

    2025年2月18日

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  • Claudio Sampieri,
  • Giorgio Peretti

摘要

Introduction

This article explores the potential role of artificial intelligence (AI) in enhancing the early detection and diagnosis of head and neck squamous cell carcinoma (HNSCC).

Discussion

The latest data reflecting the growing disparity in HNSCC incidence and mortality across different regions and socioeconomic groups are reviewed, stressing the importance of early detection in improving outcomes. The potential role of AI in improving the accuracy and consistency of endoscopic procedures, particularly in resource-limited settings with limited access to specialized healthcare is discussed. By analyzing current technologies and case studies, the review highlights how AI can democratize access to early cancer detection, improve survival rates, and reduce the financial burden on patients. The integration of AI into healthcare systems can lead to significant cost savings and enhanced accessibility, particularly in underserved populations, where HNSCC is projected to rise dramatically in the coming decades.