Deep Learning Improves Sensitivity to Change in Sinus Computed Tomography: Evidence From Two Randomized Controlled Trials

doi:10.1002/alr.70218

Deep Learning Improves Sensitivity to Change in Sinus Computed Tomography: Evidence From Two Randomized Controlled Trials

Journal: International forum of allergy & rhinology (Q1)
Published: 16 July 2026
Study design: Randomized controlled trial
Evidence level: Level 1, High (CEBM 1b)
Authors: James W MacKay, Lars H Nordenmark, Sofia Necander, David Cohen, Viktoria Werkström, Maria Jison, et al.
PMID: 42461843
DOI: 10.1002/alr.70218

Why clinicians should know about it

Picked for Otorhinolaryngology (top studies of the week, 19 July 2026): Deep learning enhances sinus CT sensitivity to change

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For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.