Neural network analysis of pharyngeal sounds can detect obstructive upper respiratory disease in brachycephalic dogs. by Andrew McDonald, Anurag Agarwal, Ben Williams, Nai-Chieh Liu, Jane Ladlow

“…The model is developed using a novel dataset of 665 labelled recordings taken from 341 dogs with diverse BOAS clinical signs. Evaluated via nested cross validation, the neural network predicts the presence of clinically significant BOAS with an area under the receiving operating characteristic of 0.85, an operating sensitivity of 71% and a specificity of 86%. …”
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Prototyping neural networks to evaluate the risk of adverse cardiovascular outcomes in the population by L. A. Bogdanov, E. A. Komossky, V. V. Voronkova, D. E. Tolstosheev, G. V. Martsenyuk, A. S. Agienko, E. V. Indukaeva, A. G. Kutikhin, D. P. Tsygankova

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WIVIDOSA-Net: Wigner–Ville distribution based obstructive sleep apnea detection using single lead ECG signal by Amit Bhongade, Tapan Kumar Gandhi

“…Then, SWVSs were fed as input to our newly developed DLM named WIgner–VIlle Distribution-based Obstructive Sleep Apnea convolutional neural network (WIVIDOSA-Net) as well as other standard pretrained ResNet-18 and ResNet-50 for comparison. …”
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Utility of an artificial intelligence-based lung CT airway model in the quantitative evaluation of large and small airway lesions in patients with chronic obstructive pulmonary dis... by Zheng Liu, Jing Li, Bo Li, Guozhen Yi, Shaoqian Pang, Ruinan Zhang, Peixiu Li, Zhaoping Yin, Jing Zhang, Bingxin Lv, Jingjing Yan, Jiao Ma

“…Abstract Background Accurate quantification of the extent of bronchial damage across various airway levels in chronic obstructive pulmonary disease (COPD) remains a challenge. …”
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Snoring Sound Recognition Using Multi-Channel Spectrograms by Ziqiang YE, Jianxin PENG, Xiaowen ZHANG, Lijuan SONG

“…Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a common and high-risk sleep-related breathing disorder. …”
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Central Nervous System Involvement in Chronic Obstructive Pulmonary Disease by Jumana Kareem, Ali Al-Hashimi, Hashim Al-Kadhimi

“… Background: Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous disease. …”
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Ultrawideband Non-Line-of-Sight Classification Using Transformer-Convolutional Neural Networks by Hae-Ji Hwang, Seon-Geun Jeong, Won-Joo Hwang

“…The Transformer captures global temporal dependencies through self-attention, while convolutional neural networks efficiently extract local spatial features. …”
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The contributions of resting-state functional-MRI studies to our understanding of male patients with obstructive sleep apnea: a systematic review by Ruoxi Yu, Yan Li, Kangqing Zhao, Fangfang Fan

“…ObjectivesObstructive sleep apnea (OSA) is a condition marked by the recurrent partial or complete obstruction of the upper airway during sleep. …”
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Screening and Management of Obstructive Sleep Apnea and Daytime Sleepiness Among Professional Drivers in Tunisia: Protocol for a Machine Learning Study by Sameh Msaad, Nesrine Kammoun, Rahma Gargouri, Rim Khemakhem, Amira Triki, Narjes Abid, Sonia Fehri, Kaouthar Kallel, Rim Kammoun, Leila Douik EL Gharbi, Sonia MaalejBellaj, Heni Bouhamed, Ahmed Abdelghani, Chiraz Aichaouia, Mohamed Turki, Samy Kammoun

“…We will evaluate several widely used machine learning models in medical diagnosis that are known for their high accuracy, including random forests, extreme gradient boosting, and deep neural networks, to predict the probability of OSA and its association with road traffic accidents. …”
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Postoperative Apnea‐Hypopnea Index Prediction of Velopharyngeal Surgery Based on Machine Learning by Jingyuan You, Juan Li, Yingqian Zhou, Xin Cao, Chunmei Zhao, Yuhuan Zhang, Jingying Ye

“…Abstract Objective To investigate machine learning‐based regression models to predict the postoperative apnea‐hypopnea index (AHI) for evaluating the outcome of velopharyngeal surgery in adult obstructive sleep apnea (OSA) subjects. …”
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Bulldogs stenosis degree classification using synthetic images created by generative artificial intelligence by Gustavo da Silva Andrade, Gabriel Toshio Hirokawa Higa, Jarbas Felipe da Silva Ribeiro, Joyce Katiuccia Medeiros Ramos Carvalho, Wesley Nunes Gonçalves, Marco Hiroshi Naka, Hemerson Pistori

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Development of a deep learning model to predict smoking status in patients with chronic obstructive pulmonary disease: A secondary analysis of cross-sectional national survey by Sudarshan Pant, Hyung Jeong Yang, Sehyun Cho, EuiJeong Ryu, Ja Yun Choi

“…Objective This study aims to develop and validate a deep learning model to predict smoking status in patients with chronic obstructive pulmonary disease (COPD) using data from a national survey. …”
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Changes of regional brain activity in frontal areas associated with cognitive impairment in obstructive sleep apnea-hypopnea syndrome patients: a resting-state fMRI study by Mei Jing, Mei Jing, Min Guo, Min Guo, Xinrui Wang, Xinrui Wang, Peng Zhang, Peng Zhang, Chenchen Gu, Chenchen Gu, Nan Zhang, Nan Zhang, Zhiqiang Ding, Zhiqiang Ding, Kelei Su, Kelei Su

“…IntroductionObstructive sleep apnea-hypopnea syndrome (OSAHS) can lead to cognitive impairment, however, its central neural mechanism is still unclear.MethodsResting-state functional magnetic resonance imaging (rs-fMRI) data were collected from 31 severe OSAHS patients and 28 healthy controls (HCs). …”
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Seeing beyond vegetation: A comparative occlusion analysis between Multi-View Stereo, Neural Radiance Fields and Gaussian Splatting for 3D reconstruction by Ivana Petrovska, Boris Jutzi

“…A real-world scene comprises multiple objects which obstruct each other and certain object parts are occluded, thus it can be challenging to generate a complete and accurate geometry. …”
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Inkjet-printed transparent electrodes: Design, characterization, and initial in vivo evaluation for brain stimulation. by Rita Matta, Davide Reato, Alberto Lombardini, David Moreau, Rodney P O'Connor

“…However, understanding the precise effects of electrical stimulation on neural activity has been hindered by limitations in recording neuronal responses near the stimulating electrode, such as stimulation artifacts in electrophysiology or obstruction of the field of view in imaging. …”
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Real-time airway monitoring system using binary classification model based on respiratory sounds of rabbits with a tracheostomy tube by Yohan Jung, Hyunbum Kim, Daeyeon Koh, Hyunjun Han, Minhyeong Kim, Young-Hoon Joo, Jongbaeg Kim

“…The trained convolutional neural network (CNN) binary classification model, evaluated on the validation dataset, achieved an accuracy of 0.9375 and an area under the receiver operating characteristic (ROC) curve of 0.9900 in classifying normal and obstructive respiratory sound samples. …”
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SAR remote sensing for monitoring harmful algal blooms using deep learning models by Kritnipit Phetanan, Do Hyuck Kwon, Jinmyeong Lee, Heewon Jeong, Gibeom Nam, Euiho Hwang, JongCheol Pyo, Kyung Hwa Cho

“…We applied SAR imagery with the Faster Regional Convolutional Neural Networks (Faster R-CNN) model to detect the algal bloom. …”
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Automated Multicohort Mobility Assessment With an Instrumented L-Test (iL-test) by Jose Albites-Sanabria, Pierpaolo Palumbo, Ilaria D'Ascanio, Tecla Bonci, Marco Caruso, Francesca Salis, Andrea Cereatti, Silvia Del Din, Lisa Alcock, Arne Kuederle, Anisoara Paraschiv-Ionescu, Eran Gazit, Felix Kluge, Cameron Kirk, M. Encarna Mico-Amigo, Kirsty Scott, Clint Hansen, Jochen Klenk, Lars Schwickert, Dimitrios Megaritis, Ioannis Vogiatzis, Clemens Becker, Walter Maetzler, Jeffrey M. Hausdorff, Brian Caulfield, Beatrix Vereijken, Lynn Rochester, Arne Muller, Claudia Mazza, Ilaria Carpinella, Thomas Bowman, Roberta De Ciechi, Alessandro Torchio, Davide Cattaneo, Simona Bianchi, Maurizio Ferrarin, Pericle Randi, Lucrezia Piraccini, Angelo Davalli, Lorenzo Chiari, Luca Palmerini

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Classification of Respiratory Diseases by Wichum Felix, Wiede Christian, Seidl Karsten

“…This study investigates the feasibility of classifying chronic obstructive pulmonary disease, asthma, and healthy individuals using depth-based plethysmography (DPG). …”
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Non-invasive neuromodulation for alleviating dyspnoea: protocol for a feasibility sham-controlled randomised trial by Guillaume Léonard, Christian Iorio-Morin, Simon Couillard, Joël St-Pierre, Samuel Mailhot-Larouche, Geneviève Garand, Félix-Antoine Vézina

“…It is a common and distressing symptom experienced by people living with chronic obstructive pulmonary disease (COPD). Neuromodulation, which uses electrical stimulation to modulate neural pathways, is a validated clinical procedure offering a potential therapeutic approach. …”
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