Applications of machine learning predictive models in the chronic disease diagnosis

G Battineni, GG Sagaro, N Chinatalapudi… - Journal of personalized …, 2020 - mdpi.com
This paper reviews applications of machine learning (ML) predictive models in the diagnosis
of chronic diseases. Chronic diseases (CDs) are responsible for a major portion of global …

FDA-regulated AI algorithms: trends, strengths, and gaps of validation studies

S Ebrahimian, MK Kalra, S Agarwal, BC Bizzo… - Academic radiology, 2022 - Elsevier
Rationale and Objectives To assess key trends, strengths, and gaps in validation studies of
the Food and Drug Administration (FDA)-regulated imaging-based artificial …

Augmenting medical diagnosis decisions? An investigation into physicians' decision-making process with artificial intelligence

E Jussupow, K Spohrer, A Heinzl… - Information Systems …, 2021 - pubsonline.informs.org
Systems based on artificial intelligence (AI) increasingly support physicians in diagnostic
decisions. Compared with rule-based systems, however, these systems are less transparent …

The performance of chest CT in evaluating the clinical severity of COVID-19 pneumonia: identifying critical cases based on CT characteristics

P Lyu, X Liu, R Zhang, L Shi, J Gao - Investigative radiology, 2020 - journals.lww.com
Objectives The aim of this study was to assess the clinical severity of COVID-19 pneumonia
using qualitative and/or quantitative chest computed tomography (CT) indicators and identify …

[HTML][HTML] Artificial intelligence and machine learning in chronic airway diseases: focus on asthma and chronic obstructive pulmonary disease

Y Feng, Y Wang, C Zeng, H Mao - International journal of medical …, 2021 - ncbi.nlm.nih.gov
Chronic airway diseases are characterized by airway inflammation, obstruction, and
remodeling and show high prevalence, especially in develo** countries. Among them …

Automated detection of airflow obstructive diseases: a systematic review of the last decade (2013-2022)

S Xu, RC Deo, J Soar, PD Barua, O Faust… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective Obstructive airway diseases, including asthma and
Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic …

Artificial intelligence in COPD CT images: identification, staging, and quantitation

Y Wu, S **a, Z Liang, R Chen, S Qi - Respiratory Research, 2024 - Springer
Chronic obstructive pulmonary disease (COPD) stands as a significant global health
challenge, with its intricate pathophysiological manifestations often demanding advanced …

Analyzing the use of artificial intelligence for the management of chronic obstructive pulmonary disease (COPD)

ADR Fernández, DR Fernández, VG Iglesias… - International journal of …, 2022 - Elsevier
Objective Chronic obstructive pulmonary disease (COPD) is a disease that causes airflow
limitation to the lungs and has a high morbidity around the world. The objective of this study …

[HTML][HTML] Measuring pulmonary function in COPD using quantitative chest computed tomography analysis

JT Bakker, K Klooster, R Vliegenthart… - European Respiratory …, 2021 - Eur Respiratory Soc
COPD is diagnosed and evaluated by pulmonary function testing (PFT). Chest computed
tomography (CT) primarily serves a descriptive role for diagnosis and severity evaluation …

Multistage ensemble learning model with weighted voting and genetic algorithm optimization strategy for detecting chronic obstructive pulmonary disease

J Dhar - IEEE Access, 2021 - ieeexplore.ieee.org
Chronic Obstructive Pulmonary Disease (COPD) is a life-threatening lung ailment and a
significant cause of morbidity and fatality globally. The early detection of COPD can provide …