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Otolaryngologist perceptions of AI-based sinus CT interpretation
Conner J Massey1, Annapoorani Asokan2, Caroline Tietbohl3
1Department of Otolaryngology - Head & Neck Surgery, University of Colorado School of Medicine, Aurora, CO, United States of America.
American Journal of Otolaryngology
|May 28, 2023
Summary
Otolaryngologists find current sinus CT radiology reports subjective and inconsistent. They are interested in AI-driven analysis for standardization but require evidence of accuracy and reproducibility for trust.
Area of Science:
- Otolaryngology
- Radiology
- Artificial Intelligence
Background:
- Current sinus CT radiology reports lack standardization, objectivity, and consistency.
- There is a need for data-driven healthcare solutions in sinus imaging interpretation.
Purpose of the Study:
- To explore otolaryngologists' perceptions of quantitative, objective disease measures.
- To determine preferences for sinus CT interpretation, including AI-based analysis.
Main Methods:
- A multi-methods approach combining surveys and semi-structured interviews.
- Survey administered to American Rhinologic Society members; interviews with otolaryngologists and rhinologists.
- Content analysis of interviews and Chi-squared test for survey data comparison.
Main Results:
- Survey indicated more trust in conventional reports, but AI reports perceived as more systematic.
- Interviews revealed limited utility of conventional reports due to inconsistency.
- Clinicians desire standardization and detailed analysis, showing interest in AI if accuracy is proven.
Conclusions:
- Current sinus CT interpretation has significant shortcomings.
- Deep learning-enabled quantitative analysis can improve standardization and objectivity.
- Clinicians require thorough validation of AI technology for trust and implementation.
