AIMC Topic: Cough

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Comparison Results of Three-Port Robot-Assisted and Uniportal Video-Assisted Lobectomy for Functional Recovery Index in the Treatment of Early Stage Non-small Cell Lung Cancer: A Propensity Score-Matched Analysis.

Annals of surgical oncology Dec 17, 2023
BACKGROUND: Minimally invasive lobectomy is the standard treatment for early stage non-small cell lung cancer (NSCLC). The aim of this study is to investigate postoperative recovery in a prospective trial of discharged patients with early stage non-s...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Cough Humans Prospective Studies Thoracic Surgery, Video-Assisted Robotics Propensity Score Pneumonectomy Small Cell Lung Carcinoma
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The smarty4covid dataset and knowledge base as a framework for interpretable physiological audio data analysis.

Scientific data Nov 6, 2023
Harnessing the power of Artificial Intelligence (AI) and m-health towards detecting new bio-markers indicative of the onset and progress of respiratory abnormalities/conditions has greatly attracted the scientific and research interest especially dur...
Data Analysis Pandemics Cough Knowledge Bases COVID-19 Humans Artificial Intelligence
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Screening COVID-19 by Swaasa AI platform using cough sounds: a cross-sectional study.

Scientific reports Oct 25, 2023
The Advent of Artificial Intelligence (AI) has led to the use of auditory data for detecting various diseases, including COVID-19. SARS-CoV-2 infection has claimed more than six million lives to date and therefore, needs a robust screening technique ...
Artificial Intelligence COVID-19 SARS-CoV-2 Humans Cross-Sectional Studies Cough
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MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds.

Medical & biological engineering & computing Feb 24, 2023
Coronavirus has an impact on millions of lives and has been added to the important pandemics that continue to affect with its variants. Since it is transmitted through the respiratory tract, it has had significant effects on public health and social ...
SARS-CoV-2 Lung Deep Learning Humans COVID-19 Cough
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An artificial intelligence algorithm-based smartphone application for daily cough monitoring.

Allergy Jan 6, 2023
Humans Artificial Intelligence Smartphone Cough Algorithms
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Design and development of hybrid optimization enabled deep learning model for COVID-19 detection with comparative analysis with DCNN, BIAT-GRU, XGBoost.

Computers in biology and medicine Oct 3, 2022
The recent investigation has started for evaluating the human respiratory sounds, like voice recorded, cough, and breathing from hospital confirmed Covid-19 tools, which differs from healthy person's sound. The cough-based detection of Covid-19 also ...
Respiratory Sounds Mustelidae Deep Learning Cough Humans SARS-CoV-2 Animals COVID-19
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A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques.

Computer methods and programs in biomedicine Sep 12, 2022
BACKGROUND AND OBJECTIVE: COVID-19 outbreak has become one of the most challenging problems for human being. It is a communicable disease caused by a new coronavirus strain, which infected over 375 million people already and caused almost 6 million d...
Humans COVID-19 X-Rays Speech SARS-CoV-2 Cough Deep Learning Early Diagnosis
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The effectiveness of gabapentin and gabapentin/montelukast combination compared with dextromethorphan in the improvement of COVID-19- related cough: A randomized, controlled clinical trial.

The clinical respiratory journal Jul 31, 2022
INTRODUCTION: Cough is one of the most common presenting symptoms of COVID-19, which can persist for weeks or months.
Cyclopropanes Dextromethorphan SARS-CoV-2 Cough Treatment Outcome Quinolines Sulfides Humans Gabapentin Acetates COVID-19 COVID-19 Drug Treatment
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Development of a natural language processing algorithm to detect chronic cough in electronic health records.

BMC pulmonary medicine Jun 28, 2022
BACKGROUND: Chronic cough (CC) is difficult to identify in electronic health records (EHRs) due to the lack of specific diagnostic codes. We developed a natural language processing (NLP) model to identify cough in free-text provider notes in EHRs fro...
Humans Algorithms Female Databases, Factual Natural Language Processing Male Electronic Health Records Cough
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Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation.

Journal of medical Internet research Jun 21, 2022
BACKGROUND: Recent work has shown the potential of using audio data (eg, cough, breathing, and voice) in the screening for COVID-19. However, these approaches only focus on one-off detection and detect the infection, given the current audio sample, b...
Deep Learning Cough Voice COVID-19 Disease Progression Humans
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