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Conventional histopathological techniques rely on subjective visual evaluation, limited by inadequate spatial resolution of molecular markers and imprecise quantitative analysis. Recent advances show that spatial transcriptomics reveals nasal polyps (NP) inflammatory heterogeneity; deep learning enables automated inflammatory subset identification and precise endotype prediction; artificial intelligence (AI)\u2010integrated frameworks transform assessment of tissue remodeling, angiogenesis, and fibro\u2010inflammatory niches. AI\u2010enabled spatial pathology bridges morphological and molecular signatures, refines NP endotyping, and paves the way for targeted biologic therapies and precision care. This review summarizes progress in conventional and emerging spatial pathology approaches for NP, focusing on AI\u2010enabled tools and their clinical translation potential.<\/jats:p>","DOI":"10.1002\/wjo2.70145","type":"journal-article","created":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T08:26:11Z","timestamp":1787819171000},"page":"546-552","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Current Advances in Spatial Pathology of Nasal Polyps: Challenges, Opportunities for Artificial Intelligence, and Future Directions"],"prefix":"10.1002","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-6229-4767","authenticated-orcid":false,"given":"Zi\u2010Xuan","family":"Hua","sequence":"first","affiliation":[{"name":"Department of Otolaryngology\u2010Head and Neck Surgery The Third Affiliated Hospital of Sun Yat\u2010sen University Guangzhou China"},{"name":"Department of Allergy The Third Affiliated 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