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  11. Artificial Intelligence In Laryngeal Cancer Management: Enhancing Guidelines Or Redefining Standards?

Artificial Intelligence in Laryngeal Cancer Management: Enhancing Guidelines or Redefining Standards?

Rogério Aparecido Dedivitis1, Mario Augusto Ferrari de Castro2, Leandro Luongo Matos3

  • 1Department of Head and Neck Surgery, Hospital das Clínicas, Faculdade de Medicina Universidade de São Paulo (HCFMUSP) São Paulo Brazil.

Laryngoscope Investigative Otolaryngology
|November 19, 2025

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View abstract on PubMed

Summary
This summary is machine-generated.

Artificial intelligence (AI) showed a 78.6% overlap with clinical guidelines for advanced laryngeal cancer treatment. While promising, AI must complement expert protocols, not replace them.

Area of Science:

  • Oncology
  • Artificial Intelligence
  • Medical Informatics

Background:

  • Clinical decision-making in advanced laryngeal cancer relies on established guidelines.
  • The integration of artificial intelligence (AI) into healthcare presents opportunities for enhancing clinical practice.

Purpose of the Study:

  • To evaluate the accuracy of AI in clinical decision-making for advanced laryngeal cancer treatment.
  • To assess the alignment of AI-generated responses with existing clinical guidelines.

Main Methods:

  • Structured questions were formulated based on seven clinical recommendations for laryngeal cancer.
  • Large Language Models (LLMs), including the Claude platform, generated responses.
  • Clinical specialists evaluated discrepancies between LLM responses and established guidelines.
Keywords:
artificial intelligencecarcinoma, squamous cellclinical practice guidelinelaryngeal cancer

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Main Results:

  • 78.6% of AI-generated responses demonstrated content similarity with existing guidelines.
  • Some AI responses offered more comprehensive information than guidelines, while others provided additional content or disagreed with recommendations.
  • Two responses indicated guidelines were more comprehensive than AI-generated content.

Conclusions:

  • AI exhibits a significant overlap with current clinical guidelines for laryngeal cancer.
  • Careful evaluation is necessary for integrating AI into clinical practice to ensure it supports, not supplants, expert-driven protocols.