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New research · Otolaryngology (ENT)
NPJ digital medicine · 1d
Animal / preclinicalNPJ digital medicine · 2025

Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery.

George S Liu, Soraya Fereydooni, Melissa Chaehyun Lee … Konstantina M Stankovic
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Otolaryngology (ENT)Animal / preclinical

No deep learning studies in Otolaryngology-Head & Neck Surgery achieved clinical validation.

Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery.

George S Liu et al. · NPJ digital medicine · 2025
Background

Clinical validation studies are important to translate artificial intelligence (AI) technology in healthcare but may be underperformed in Otolaryngology - Head & Neck Surgery (OHNS).

Purpose

This scoping review examined deep learning publications in OHNS between 1996 and 2023.

0%
Results
no deep learning studies were tested with patients in real healthcare settings
n = 444 articles
More results

Searches on MEDLINE, EMBASE, and Web of Science databases identified 3236 articles of which 444 met inclusion criteria.

More results

Publications increased exponentially from 2012-2022 across 48 countries and were most concentrated in otology and neurotology (28%), most targeted extending health care provider capabilities (56%), and most used image input data (55%) and convolutional neural network models (63%).

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Conclusion

Recommendations to cross this chasm include focusing on low complexity and low risk tasks, adhering to reporting guidelines, and prioritizing clinical translation studies.

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