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March 29, 2026International Forum of Allergy & Rhinology

Artificial Intelligence and Nasal Cytology: Toward a Comprehensive Cytological Endotyping of Rhinitis

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Authors

MGMatteo Gelardi

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Overview

This perspective highlights AI's role in improving nasal cytology diagnostics for airway inflammation, suggesting enhanced clinical benefits.

Key Points

  • To explore the integration of artificial intelligence in nasal cytology for endotyping rhinitis and airway diseases.
  • Development of an AI system for quantitative cytological assessment
  • Application of deep learning algorithms to whole-slide imaging
  • Identification and quantification of eosinophils and neutrophils on digital slides
  • Discussion of morphological features and their integration into AI analysis
  • Automated detection and quantification of eosinophils and neutrophils were demonstrated
  • Nasal cytology recognized as valuable for identifying inflammatory phenotypes
  • Potential for improved diagnostic and prognostic capabilities with AI integration

Cite This Study

Matteo Gelardi (2026) studied this question.

synapsesocial.com/papers/69c8c195de0f0f753b39bf0ahttps://doi.org/10.1002/alr.70152
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