Machine Learning in Laryngoscopy Analysis: A Proof of Concept Observational Study for the Identification of Post-Extubation Ulcerations and Granulomas

Research article (Annals of Otology Rhinology & Laryngology, 2020) · cited 23× · AI/ML
Press Enter · cited answer in seconds

Machine Learning in Laryngoscopy Analysis: A Proof of Concept Observational Study for the Identification of Post-Extubation Ulcerations and Granulomas

Summary

Machine Learning in Laryngoscopy Analysis: A Proof of Concept Observational Study for the Identification of Post-Extubation Ulcerations and Granulomas is a scholarly article[1].

Key Facts

  • Machine Learning in Laryngoscopy Analysis: A Proof of Concept Observational Study for the Identification of Post-Extubation Ulcerations and Granulomas's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Machine Learning in Laryngoscopy Analysis: A Proof of Concept Observational Study for the Identification of Post-Extubation Ulcerations and Granulomas. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-in-laryngoscopy-analysis-a-proof-of-concept-observational-study-for-the-identification-of-post-extubati
MLA “Machine Learning in Laryngoscopy Analysis: A Proof of Concept Observational Study for the Identification of Post-Extubation Ulcerations and Granulomas.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-in-laryngoscopy-analysis-a-proof-of-concept-observational-study-for-the-identification-of-post-extubati.
BibTeX @misc{4ortxyz_machine-learning-in-laryngoscopy-analysis-a-proof-of-concept-observational-study-for-the-identification-of-post-extubati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning in Laryngoscopy Analysis: A Proof of Concept Observational Study for the Identification of Post-Extubation Ulcerations and Granulomas}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-in-laryngoscopy-analysis-a-proof-of-concept-observational-study-for-the-identification-of-post-extubati}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine Learning in Laryngoscopy Analysis: A Proof of Concept Observational Study for the Identification of Post-Extubation Ulcerations and Granulomas — https://4ort.xyz/entity/machine-learning-in-laryngoscopy-analysis-a-proof-of-concept-observational-study-for-the-identification-of-post-extubati (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/machine-learning-in-laryngoscopy-analysis-a-proof-of-concept-observational-study-for-the-identification-of-post-extubati · Last refreshed: