Otolaryngology

Artificial intelligence in pediatric otolaryngology: A state-of-the-art review of opportunities and pitfalls.

BACKGROUND: Artificial Intelligence (AI) and machine learning (ML) have transformative potential in ...

Comparison of ChatGPT-4, Copilot, Bard and Gemini Ultra on an Otolaryngology Question Bank.

OBJECTIVE: To compare the performance of Google Bard, Microsoft Copilot, GPT-4 with vision (GPT-4) a...

Representation of Demographics in Otolaryngology by Artificial Intelligence Text-to-Image Platforms.

OBJECTIVE: Artificial intelligence (AI) text-to-image generators have a propensity to reflect stereo...

AI in clinical decision-making: ChatGPT-4 vs. Llama2 for otolaryngology cases.

PURPOSE: To evaluate the diagnostic accuracy, appropriateness of additional examination recommendati...

Comparative analysis of GPT-4 and Google Gemini's consistency with pediatric otolaryngology guidelines.

OBJECTIVE: To evaluate the accuracy and completeness of large language models (LLMs) in interpreting...

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

Clinical validation studies are important to translate artificial intelligence (AI) technology in he...

ChatGPT 4.0 and algor in generating concept maps: an observational study.

BACKGROUND: To evaluate the performance of two AI systems, ChatGPT 4.0 and Algor, in generating conc...

[The application of domestic flexible arm robot in assisting transoral resection of throat tumors].

The current study aimed to evaluate the application value of the domestic otolaryngology-specific fl...

Postoperative Management of Tympanoplasty with ChatGPT-4.0.

Background: Tympanoplasty, essential for repairing tympanic membrane perforations, requires careful ...

[Two cases of transaxillary thyroidectomy assisted by a domestic single-port robotic system].

Evaluating advanced AI reasoning models: ChatGPT-4.0 and DeepSeek-R1 diagnostic performance in otolaryngology: a comparative analysis.

PURPOSE: This study aimed to evaluate the diagnostic accuracy, comprehensiveness, and clinical relev...

Grade classification of nasal obstruction from endoscopy videos using machine learning.

Nasal obstruction (NO), referring to blockage in the nasal cavity, is prevalent, affecting approxima...

Our Otolaryngology Future With Artificial Intelligence.

Generative artificial intelligence in otolaryngology-head and neck surgery editorial: be an actor of the future or follower.

Data-driven Machine Learning Models for Risk Stratification and Prediction of Emergence Delirium in Pediatric Patients Underwent Tonsillectomy/Adenotonsillectomy.

AIM: In the pediatric surgical population, Emergence Delirium (ED) poses a significant challenge. Th...

[Diagnosis of benign laryngeal tumors using neural network].

The article describes our experience in developing and training an artificial neural network based o...

Development and validation of an artificial intelligence algorithm for detecting vocal cords in video laryngoscopy.

Airway procedures in life-threatening situations are vital for saving lives. Video laryngoscopy (VL)...

Comparison of Surgical Outcome of Bipolar Scissors with Conventional Cold Dissection Tonsillectomy.

Background The tonsillectomy is the most common Ear, Nose, and Throat (ENT) surgical procedure. Diff...

[Automatic anatomical site recognition of laryngoscopic images using convolutional neural network].

To explore the automatic recognition and classification of 20 anatomical sites in laryngoscopy by an...

New technologies in airway management: A review.

The evolution of medical knowledge and technological growth have contributed to the development of d...

[Application and development of voice analysis and endoscopic technology combined with artificial intelligence in the diagnosis and treatment of throat disease].

In the diagnosis and treatment of throat disease, the application and development of combining voice...