[CT-based multitask learning for predicting endotypes of chronic rhinosinusitis with nasal polyps: a clinical study]

K Y Wu1, Y H Wang2, W D Du1

  • 1Department of Otolaryngology Head and Neck Surgery, the Second Affiliated Hospital of Shantou University Medical College, Shantou 515041, China.

Summary

A new AI model, multitask learning network (MTLNet), accurately predicts chronic rhinosinusitis with nasal polyps (CRSwNP) endotypes using CT scans. This tool aids doctors in creating personalized treatment plans for CRSwNP patients.

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