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Otolaryngology

Latest AI and machine learning research in otolaryngology for healthcare professionals.

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Showing 43-63 of 1,769 articles
Artificial Intelligence in Head and Neck Surgery.

This article explores artificial intelligence's (AI's) role in otolaryngology for head and neck canc...

Improving difficult direct laryngoscopy prediction using deep learning and minimal image analysis: a single-center prospective study.

Accurate prediction of difficult direct laryngoscopy (DDL) is essential to ensure optimal airway man...

Variability of Guidelines and Disclosures for AI-Generated Content in Top Surgical Journals.

: When properly utilized, artificial intelligence generated content (AIGC) may improve virtually eve...

Standardization, Collaboration, and Education in the Implementation of Artificial Intelligence in Otolaryngology: The Key to Scalable Impact.

The study delves into the crucial role of standardization, collaboration, and education in the integ...

Generative AI and Otolaryngology-Head & Neck Surgery.

The increasing development of artificial intelligence (AI) generative models in otolaryngology-head ...

Artificial Intelligence in Otolaryngology: Topics in Epistemology & Ethics.

To fuel artificial intelligence (AI) potential in clinical practice in otolaryngology, researchers m...

Regulatory and Implementation Considerations for Artificial Intelligence.

Successful artificial intelligence (AI) implementation is predicated on the trust of clinicians and ...

Laryngeal Cancer Screening During Flexible Video Laryngoscopy Using Large Computer Vision Models.

OBJECTIVE: Develop an artificial intelligence assisted computer vision model to screen for laryngeal...

The Use of Artificial Intelligence to Improve Readability of Otolaryngology Patient Education Materials.

OBJECTIVE: The recommended readability of health education materials is at the sixth-grade level. Ar...

Transforming Otolaryngology-Head and Neck Surgery: The Pivotal Role of Artificial Intelligence in Clinical Workflows.

Use of artificial intelligence (AI) is expanding exponentially as it pertains to workflow operations...

The Integration and Impact of Artificial Intelligence in Otolaryngology-Head and Neck Surgery: Navigating the Last Mile.

Incorporating artificial Intelligence and machine learning into otolaryngology requires careful data...

An automated approach for real-time informative frames classification in laryngeal endoscopy using deep learning.

PURPOSE: Informative image selection in laryngoscopy has the potential for improving automatic data ...

Examining the Performance of ChatGPT 3.5 and Microsoft Copilot in Otolaryngology: A Comparative Study with Otolaryngologists' Evaluation.

To evaluate the response capabilities, in a public healthcare system otolaryngology job competition ...

The role of artificial intelligence in training ENT residents: a survey on ChatGPT, a new method of investigation.

OBJECTIVE: The primary focus of this study was to analyze the adoption of ChatGPT among Ear, Nose, a...

Can GPT-4 revolutionize otolaryngology? Navigating opportunities and ethical considerations.

Otolaryngologists can enhance workflow efficiency, provide better patient care, and advance medical ...

Machine Learning for Predictive Analysis of Otolaryngology Residency Letters of Recommendation.

INTRODUCTION: Letters of recommendation (LORs) are a highly influential yet subjective and often eni...

Artificial Intelligence Versus Human Focus Group Rating of Facial Attractiveness.

Many open-access artificial intelligence (AI)-based websites that rate facial attractiveness are av...

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