Surgery

Otolaryngology

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

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Showing 127-147 of 1,769 articles
Metatranscriptomics reveals the gene functions and metabolic properties of the major microbial community during Chinese Sichuan Paocai fermentation.

Chinese Sichuan Paocai (CSP) is one of the world's best-known fermented vegetables with a large pres...

Classification of hyperspectral endocrine tissue images using support vector machines.

BACKGROUND: Thyroidectomy is one of the most commonly performed surgical procedures. The region of t...

OtoMatch: Content-based eardrum image retrieval using deep learning.

Acute infections of the middle ear are the most commonly treated childhood diseases. Because complic...

Predicting polysomnographic severity thresholds in children using machine learning.

BACKGROUND: Approximately 500,000 children undergo tonsillectomy and adenoidectomy (T&A) annually fo...

Diagnosis of Thyroid Nodule with New Ultrasound Imaging Modalities.

B-mode ultrasound (US) technology is an integral part of diagnosing and assessing risk stratificati...

Robotic Transaxillary Hemithyroidectomy Using the da Vinci SP Robotic System: Initial Experience With 10 Consecutive Cases.

Many studies have shown the operative feasibility and safety of robotic thyroidectomy. However, the...

Automatic Recognition of Laryngoscopic Images Using a Deep-Learning Technique.

OBJECTIVES/HYPOTHESIS: To develop a deep-learning-based computer-aided diagnosis system for distingu...

Automatic cancer tissue detection using multispectral photoacoustic imaging.

PURPOSE: In the case of multispecimen study to locate cancer regions, such as in thyroidectomy and p...

Ethical Considerations in the Advent of Artificial Intelligence in Otolaryngology.

Artificial intelligence (AI) is quickly expanding within the sphere of health care, offering the pot...

Safety and efficacy of transoral robotic and endoscopic thyroidectomy: The first 100 cases.

BACKGROUND: The aim of this study was to evaluate the safety and efficacy of transoral robotic and e...

Otoscopic diagnosis using computer vision: An automated machine learning approach.

OBJECTIVE: Access to otolaryngology is limited by lengthy wait lists and lack of specialists, especi...

Prediction of Immunohistochemistry of Suspected Thyroid Nodules by Use of Machine Learning-Based Radiomics.

The purpose of this study was to develop and validate a radiomics model for evaluating immunohistoc...

Sodium hydroxide-induced esophageal stricture via an endoscopic injection needle: a novel rabbit model of corrosive injury.

Benign strictures of the esophagus are commonly encountered in clinical practice and are difficult ...

Evolution Strategies in Transaxillary Robotic Thyroidectomy: Considerations on the First 449 Cases Performed.

BACKGROUND: In the past 20 years, the fast spread of new surgical technologies has reached an import...

[Robot-assisted transaxillary thyroid surgery; 5 years later].

Five years ago, robot-assisted transaxillary thyroidectomy (RATT) was introduced in the Netherlands....

Artificial Intelligence for the Otolaryngologist: A State of the Art Review.

OBJECTIVE: To provide a state of the art review of artificial intelligence (AI), including its subfi...

A contemporary review of machine learning in otolaryngology-head and neck surgery.

One of the key challenges with big data is leveraging the complex network of information to yield us...

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