Results 31 to 40 of about 258,301 (250)

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

Multivariate Contrastive Predictive Coding with Sliding Windows for Disease Prediction from Electronic Health Records

Advanced Intelligent Systems, EarlyView.
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan, Xiaozhu Jing, Yuzheng Yan, Wuman Luo   +3 more
wiley   +1 more source

Soft Artificial Ciliary Brush with Integrated Haptic Feedback for Efficient Airway Mucus Cleaning

Advanced Intelligent Systems, EarlyView.
A fundamental mucus cleaning mechanism is reported, which utilizes both artificial cilia mechanical sweeping and suction‐based mucus cleaning. A novel haptic feedback interface for the artificial cilia provides touch feedback on tissue contact, enhancing operator control and safety.
Zhongming Lyu, Yusheng Wang, Ruijian Ge, Darren Wang, Matthew Bacchetta, Caitlin T. Demarest, Fabien Maldonado, Xiaoguang Dong   +7 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Silicosis, Sarcoidosis, and Silicosarcoidosis Are Overlapping Diagnoses and Difficult to Differentiate

American Journal of Industrial Medicine, EarlyView.
ABSTRACT We evaluated 12 workers with documented exposure to respirable crystalline silica who were referred to a tertiary care center due to clinical suspicion of silicosis, sarcoidosis, or silicosarcoidosis. Although silica exposure is a well‐established risk factor for silicosis and has been associated with autoimmune diseases, mycobacterial ...
Guilherme Ward Leite, Eduardo Kaiser Ururahy Nunes Fonseca, Rodrigo Caruso Chate, Lavinia Clara Del Roio, Sofia de Paiva Memento Machado, Jefferson Benedito de Freitas, Ronaldo Adib Kairalla, Mário Terra‐Filho, Ubiratan Paula Santos, Rafael Futoshi Mizutani   +9 more
wiley   +1 more source

Dupilumab Beyond the Airway: Decreased Morbidity in a Real‐World Analysis

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Post hoc analyses of clinical trials have characterized dupilumab's adverse effects, yet the real‐world impact in chronic rhinosinusitis with nasal polyps (CRSwNP) and asthma is not well described. This study aims to characterize the risks of lymphoma, cardiovascular events, eosinophilia, joint pain, inflammatory arthritis, and ...
Emma J. Anisman, Spencer Short, Emma Tam, Benjamin F. Bitner, Abdulghafoor Alani, Marc Rosen, Mindy Rabinowitz, Damaris Pena Evertz, Elina Toskala, Gurston G. Nyquist   +9 more
wiley   +1 more source

Distinct Prescription Patterns Emerge Years Before ALS Diagnosis: A Nationwide Registry‐Based Study

Annals of Neurology, EarlyView.
Objective The prodromal phase of amyotrophic lateral sclerosis (ALS) is poorly defined. We aimed to characterize prescription drug use patterns in the pre‐diagnostic period by analyzing nationwide prescription data to identify the earliest divergence between individuals who developed ALS and matched healthy controls.
Magne Haugland Solheim, Trond Riise, Marianna Cortese, Ola Nakken, Ole‐Bjørn Tysnes, Jannicke Igland, Kjetil Bjornevik   +6 more
wiley   +1 more source

P30 Use Of A Regional Copd Dashboard To Effect Large Scale Change J Congleton, J Wookey, J Bott Kss Ahsn Respiratory Programme [PDF]

, 2014
Jo Congleton, J. Wookey, J. Bott
openalex   +1 more source

Association between P-Pulmonale and Respiratory Morbidity in COPD: a Secondary Analysis of the BLOCK-COPD trial [PDF]

, 2023
R. Chad Wade, Takudzwa Mkorombindo, S. Ling, Erika S. Helgeson, David M. MacDonald, Krystle Pew, Helen Voelker, Vera Bittner, Ken M. Kunisaki, Matthew R. Lammi, Mark T. Dransfield   +10 more
openalex   +1 more source

Population-based case-finding to identify subjects with undiagnosed asthma or COPD [PDF]

, 2020
Matthew Preteroti, G. À. Whitmore, Katherine L. Vandemheen, J. Mark FitzGerald, Catherine Lemière, Louis‐Philippe Boulet, Erika Penz, Stephen K. Field, Samir Gupta, Andrew McIvor, Irvin Mayers, Paul Hernandez, Diane Lougheed, Martha Ainslie, Christopher Licskai, Tanweer Azher, Ian Fraser, Masoud Mahdavian, Shawn D. Aaron   +18 more
openalex   +1 more source