Artificial Intelligence for Early Detection and Prediction of Chronic Obstructive Pulmonary Disease Exacerbations

AI has uncovered hidden patterns in the progression of COPD, supporting a shift from reactive to anticipatory management. Translation to routine care requires prospective validation, improved interpretability, workflow integration, and generalizability and equity.

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Publication Details

Journal
Healthcare
Published
2026-03-21
DOI
https://doi.org/10.3390/healthcare14060806
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence for Early Detection and Prediction of Chronic Obstructive Pulmonary Disease Exacerbations

LeAnn Boyce, Victor Prybutok
Healthcare
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Artificial Intelligence for Early Detection and Prediction of Chronic Obstructive Pulmonary Disease Exacerbations

LeAnn Boyce, Victor Prybutok
article en

Abstract

AI has uncovered hidden patterns in the progression of COPD, supporting a shift from reactive to anticipatory management. Translation to routine care requires prospective validation, improved interpretability, workflow integration, and generalizability and equity.

HealthcareVol. 14(6)
University of North Texas (US), Decision Sciences (United States) (US)
Good health and well-being
Openalex Percentile: Top 13%
Chronic Obstructive Pulmonary Disease (COPD) Research
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Artificial Intelligence for Early Detection and Prediction of Chronic Obstructive Pulmonary Disease Exacerbations — LeAnn Boyce, Victor Prybutok · Healthcare (2026) | TGRS Research Map | TGRS