Evidence map›Paper›PMID 38995344›Full record

ArticleInternational forum of allergy & rhinology2024

Multi-institutional validation of an AI-based sinus CT analytic platform with olfactory assessments.

Conner J Massey, Stephen M Humphries, Jess C Mace, Timothy L Smith, Zachary M Soler, Vijay R Ramakrishnan

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in International forum of allergy & rhinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Artificial Intelligence in Rhinology: A State-of-the-Art Review of Clinical Readiness and Implementation Pathways.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2026
    Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Conner J MasseyDepartment of Otolaryngology-Head & Neck Surgery, University of Utah School of Medicine, Salt Lake City, Utah, USA.ORCID 0000-0002-6558-4559
Stephen M HumphriesDepartment of Radiology, National Jewish Health, Denver, Colorado, USA.ORCID 0000-0002-5113-4530
Jess C MaceDepartment of Otolaryngology-Head & Neck Surgery, Oregon Health Sciences University, Portland, Oregon, USA.ORCID 0000-0001-5009-3426
Timothy L SmithDepartment of Otolaryngology-Head & Neck Surgery, Oregon Health Sciences University, Portland, Oregon, USA.ORCID 0000-0002-6424-7083
Zachary M SolerDepartment of Otolaryngology-Head & Neck Surgery, Medical University of South Carolina, Charleston, South Carolina, USA.
Vijay R RamakrishnanDepartment of Otolaryngology-Head & Neck Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID 0000-0003-2748-0705

Funding

DETERMINANTS OF SURGICAL OUTCOMES IN CHRONIC SINUSITISR01DC005805 · NIDCD · OREGON HEALTH & SCIENCE UNIVERSITY · PI SMITH, TIMOTHY L, SOLER, ZACHARY M · 2004 to 2020
$7.6M
The Chronic Rhinosinusitis (CRS) Problem and an AI Driven Personalized Medicine SolutionR01AI175631 · NIAID · INDIANA UNIVERSITY INDIANAPOLIS · PI Vijay Ramakrishnan · 2024 to 2026
$2.2M
NIAID NIH HHS R01 AI175631NIDCD NIH HHS R01 DC005805
6 · The paper itself

Abstract

key pointsAI-based CT sinus analysis may have advantages over visual based systems, for example, Lund-Mackay score. Here, we show multi-institutional validation of an AI algorithm using novel OMC classification. Significant, robust correlations are seen between algorithm outputs and clinical outcomes.

Indexed as

AlgorithmsParanasal SinusesTomography, X-Ray ComputedAdultAgedArtificial IntelligenceFemaleHumansMaleMiddle AgedRhinitisSinusitisSmellartificial intelligencechronic rhinosinusitiscomputed tomographyolfactionparanasal sinus

Identifiers

PMID38995344
PMCPMC11530322

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.