[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 …

[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 …

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 …

Demystification of artificial intelligence for respiratory clinicians managing patients with obstructive lung diseases

J Antão, J de Mast, A Marques… - Expert Review of …, 2023 - Taylor & Francis
Introduction Asthma and chronic obstructive pulmonary disease (COPD) are leading causes
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

LYW Tang, HO Coxson, S Lam, J Leipsic… - The Lancet Digital …, 2020 - thelancet.com
Background Chronic obstructive pulmonary disease (COPD) is underdiagnosed in the
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 …

CT imaging with machine learning for predicting progression to COPD in individuals at risk

K Makimoto, JC Hogg, J Bourbeau, WC Tan, M Kirby - Chest, 2023 - Elsevier
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 …

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 …

Chronic obstructive pulmonary disease risk assessment tools: is one better than the others?

JM Wang, MLK Han, WW Labaki - Current opinion in pulmonary …, 2022 - journals.lww.com
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 …

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 …