Otolaryngology

TSP-OCS: A Time-Series Prediction for Optimal Camera Selection in Multi-Viewpoint Surgical Video Analysis

Recording the open surgery process is essential for educational and medical evaluation purposes; however, traditional single-camera methods often face challenges such as occlusions caused by the surgeon's head and body, as well as limitations due to fixed camera angles, which reduce comprehensibility of the video content. This study addresses these limitations by employing a multi-viewpoint came...

[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 flexible-arm robotic system in the resection of throat tumors. A 53-year-old male patient diagnosed with a left-sided throat tumor underwent tumor resection with robotic assistance at ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University in October 2024. Intraoperat...

Gamma: Toward Generic Image Assessment with Mixture of Assessment Experts

Image assessment aims to evaluate the quality and aesthetics of images and has been applied across various scenarios, such as natural and AIGC scene...

Postoperative Management of Tympanoplasty with ChatGPT-4.0.

Background: Tympanoplasty, essential for repairing tympanic membrane perforations, requires careful postoperative care for successful recovery. Howeve...

CeViT: Copula-Enhanced Vision Transformer in multi-task learning and bi-group image covariates with an application to myopia screening

We aim to assist image-based myopia screening by resolving two longstanding problems, "how to integrate the information of ocular images of a pair o...

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

ENTAgents: AI Agents for Complex Knowledge Otolaryngology

Various healthcare applications based on large language models (LLMs) have emerged as LLMs show improved efficiency and error reduction. Recently, ret...

How easily can AI chatbots spread misinformation in audiology and otolaryngology?

Chatbots powered by large language models (LLMs) have recently emerged as prominent sources of information. However, their ability to propagate misinf...

Machine learning-Based Classification of Papillary Thyroid Carcinoma Versus Multinodular Goiter Using Preoperative Laboratory and Cytology Data

Thyroid nodules are frequently encountered in clinical practice, with their detection increasing due to advancements in imaging modalities. While most...

How do clinician and parent reported data differ? An analysis of similarity and difference in the datasets from a cross-syndrome genetics cohort study(GenROC)

Parent/patient-reported datasets provide ready access to phenotypic data for monogenic neurodevelopmental disorders yet their concordance with clinica...

Benchmarking Large Language Models and Clinicians Using Locally Generated Primary Healthcare Vignettes in Kenya

Large language models (LLMs) show promise on healthcare tasks, yet most evaluations emphasize multiple-choice accuracy rather than open-ended reasonin...

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 relevance of two advanced artificial intelligence (AI) ...

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

Nasal obstruction (NO), referring to blockage in the nasal cavity, is prevalent, affecting approximately one-third of the adult population. Consequent...

Our Otolaryngology Future With Artificial Intelligence.

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

[Diagnosis of benign laryngeal tumors using neural network].

The article describes our experience in developing and training an artificial neural network based on artificial intelligence algorithms for recognizi...

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. This study aims to develop and validate machine lear...

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) is commonly performed during endotracheal intubat...

[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 artificial intelligence（AI） quality control syste...

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. Different methods have been used to improve the outcom...