Glottic opening detection using deep learning for neonatal ...

Glottic opening detection using deep learning for neonatal ... - Nature

A deep learning model, YOLOv8, was trained on 1623 video frames from 84 neonatal intubations to detect the glottic opening and evaluated using ...

A deep learning model, YOLOv8, was trained on 1623 video frames from 84 neonatal intubations to detect the glottic opening and evaluated using ...

Abrar Majeedi

Auotmatically detect the glottic opening during neonatal intubation using video laryngoscopy to improve intubation outcomes. Deep learning to quantify care ...

An Automatic Grading System for Neonatal Endotracheal Intubation ...

In the field of medical training, machine learning (ML)[3], [4] and deep learning (DL)[5], [6] techniques have gained considerable popularity ...

Deep Learning-Based Detection of Glottis Segmentation Failures

In this paper, a deep learning-based approach is presented that can detect bad glottis segmentations with an accuracy of 88.27% and return a quality score using ...

Journal of Perinatology - Nature

Duration of hemolysis among infants with hemolytic disease of the fetus and newborn ... Glottic opening detection using deep learning for neonatal intubation with ...

Predictive Outcomes of Deep Learning Measurement of the Anterior ...

Objective: (1) To compare maximum glottic opening angle (anterior glottic angle, AGA) in patients with bilateral vocal fold immobility (BVFI) ...

Deep Learning news | Breaking News & Top Stories | NewsNow

Glottic opening detection using deep learning for neonatal intubation with video laryngoscopy Nature.com 17:54 Wed, 13 Nov. ADOPT Algorithm Revolutionizes Deep ...

Infant Vocal Tract Development Analysis and Diagnosis by Cry ...

Machine learning methods have been used in studying infant growth. Pruett et al. performed age classification on 6 versus 12-month old infants by functional ...

Predictive Outcomes of Deep Learning Measurement of the Anterior ...

An open-source deep learning-based computer vision tool for vocal fold tracking was used to analyze videolaryngoscopy. Minimum and maximum AGA were calculated ...

Using machine-learning models to predict extubation failure in ...

To develop a decision-support tool for predicting extubation failure (EF) in neonates with bronchopulmonary dysplasia (BPD) using a set of ...

Neonatal Disease Prediction Using Machine Learning Techniques

the early detection and accurate diagnosis of neonatal diseases, especially for resource-limited health facilities. 1. Introduction. e neonatal ...

A Deep Learning Enhanced Novel Software Tool for Laryngeal ...

Glottal midline detection using principal component (PC) analysis. (a) For each cycle, the frame with maximum glottis opening is transformed to PC space.

Infant Cry Signal Processing, Analysis, and Classification with ...

... opening and closing of the vocal cords and the ... Abidin, “Detection of asphyxia in infants using deep learning Convolutional Neural.

[PDF] Real-Time Prediction for Neonatal Endotracheal Intubation ...

The probability of intubation in neonatal patients with respiratory problems was predicted using a deep neural network using a multimodal transformer model ...

Anatomy of Infant Larynx and Cuffed Endotracheal Tubes - Airway

For the first time,in vivo laryngoscopic observations of the paediatric larynx were made by anaesthesiologist Eckenhoff. He reported that the glottic opening is ...

Neonatal Disease Prediction Using Machine Learning Techniques

We believe that this will contribute to the early detection and accurate diagnosis of neonatal diseases, especially for resource-limited health facilities. 1.

A Deep Learning Enhanced Novel Software Tool for Laryngeal ...

High-speed videoendoscopy (HSV) is an emerging, but barely used, endoscopy technique in the clinic to assess and diagnose voice disorders ...

Neonatal Disease Prediction Using Machine Learning Techniques

Late-onset sepsis (LOS) is one of the major contributors to morbidity and mortality in neonates. Early detection of LOS is critical to reduce ...

Re-Training of Convolutional Neural Networks for Glottis ... - MDPI

Endoscopic high-speed video (HSV) systems for visualization and assessment of vocal fold dynamics in the larynx are diverse and technically advancing.