[HTML][HTML] Integrating Artificial Intelligence in the Diagnosis of COPD Globally: A Way Forward
NM Robertson, CS Centner… - … Diseases: Journal of the …, 2024 - ncbi.nlm.nih.gov
The advancement of artificial intelligence (AI) capabilities has paved the way for a new
frontier in medicine, which has the capability to reduce the burden of COPD globally. AI may …
frontier in medicine, which has the capability to reduce the burden of COPD globally. AI may …
[HTML][HTML] Artificial intelligence in COPD: New venues to study a complex disease
RSJ Estépar - Barcelona respiratory network reviews, 2020 - ncbi.nlm.nih.gov
Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous disease
that can benefit from novel approaches to understanding its evolution and divergent …
that can benefit from novel approaches to understanding its evolution and divergent …
Artificial intelligence in COPD: Possible applications and future prospects.
KP Exarchos, K Kostikas - Respirology, 2021 - search.ebscohost.com
Keywords: COPD; machine learning; data mining EN COPD machine learning data mining
641 642 2 06/18/21 20210701 NES 210701 The cornerstone of artificial intelligence (AI) is …
641 642 2 06/18/21 20210701 NES 210701 The cornerstone of artificial intelligence (AI) is …
Demystification of artificial intelligence for respiratory clinicians managing patients with obstructive lung diseases
Introduction Asthma and chronic obstructive pulmonary disease (COPD) are leading causes
of morbidity and mortality worldwide. Despite all available diagnostics and treatments, these …
of morbidity and mortality worldwide. Despite all available diagnostics and treatments, these …
Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT
Background Chronic obstructive pulmonary disease (COPD) is underdiagnosed in the
community. Thoracic CT scans are widely used for diagnostic and screening purposes for …
community. Thoracic CT scans are widely used for diagnostic and screening purposes for …
Development and application of a deep learning-based comprehensive early diagnostic model for chronic obstructive pulmonary disease
Z Zhu, S Zhao, J Li, Y Wang, L Xu, Y Jia, Z Li, W Li… - Respiratory …, 2024 - Springer
Background Chronic obstructive pulmonary disease (COPD) is a frequently diagnosed yet
treatable condition, provided it is identified early and managed effectively. This study aims to …
treatable condition, provided it is identified early and managed effectively. This study aims to …
CT imaging with machine learning for predicting progression to COPD in individuals at risk
Background Identifying individuals at risk of progressing to COPD may allow for initiation of
treatment to potentially slow the progression of the disease or the selection of subgroups for …
treatment to potentially slow the progression of the disease or the selection of subgroups for …
Improving detection of early chronic obstructive pulmonary disease
WW Labaki, MLK Han - Annals of the American Thoracic Society, 2018 - atsjournals.org
Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary
disease (COPD) is frequently undiagnosed. Yet the burden of disease among the …
disease (COPD) is frequently undiagnosed. Yet the burden of disease among the …
Chronic obstructive pulmonary disease risk assessment tools: is one better than the others?
Given the complex heterogeneity of COPD, any single metric is unlikely to fully capture the
risk of poor long-term outcomes. Therefore, clinicians should review all available clinical …
risk of poor long-term outcomes. Therefore, clinicians should review all available clinical …
Challenges of COPD diagnosis
D Price, G Brusselle - Expert Opinion on Medical Diagnostics, 2013 - Taylor & Francis
Introduction: Chronic obstructive pulmonary disease (COPD) is a leading cause of death
worldwide and this burden is predicted to increase unless exposure to risk factors is …
worldwide and this burden is predicted to increase unless exposure to risk factors is …