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 …, 2021 - pmc.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 …

Pulmonary functional imaging: part 2—state-of-the-art clinical applications and opportunities for improved patient care

WB Gefter, KS Lee, ML Schiebler, G Parraga, JB Seo… - Radiology, 2021 - pubs.rsna.org
Pulmonary functional imaging may be defined as the regional quantification of lung function
by using primarily CT, MRI, and nuclear medicine techniques. The distribution of pulmonary …

[HTML][HTML] Artificial intelligence in the NHS: climate and emissions✰,✰✰

PS Bloomfield, P Clutton-Brock, E Pencheon… - The Journal of Climate …, 2021 - Elsevier
Healthcare provision has a significant climate impact and, conversely, the climate is a
determinant of population health. Research is underway to quantify the emissions from …

Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans

ED Angelini, J Yang, PP Balte, EA Hoffman… - Thorax, 2023 - thorax.bmj.com
Background Treatment and preventative advances for chronic obstructive pulmonary
disease (COPD) have been slow due, in part, to limited subphenotypes. We tested if …

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

Y Wu, S **
E Maiorino, J Loscalzo - Arteriosclerosis, thrombosis, and vascular …, 2023 - ahajournals.org
The complex landscape of cardiovascular diseases encompasses a wide range of related
pathologies arising from diverse molecular mechanisms and exhibiting heterogeneous …

Evaluation of retrieval accuracy and visual similarity in content-based image retrieval of chest CT for obstructive lung disease

J Choe, HY Choi, SM Lee, SY Oh, HJ Hwang, N Kim… - Scientific Reports, 2024 - nature.com
The aim of our study was to assess the performance of content-based image retrieval (CBIR)
for similar chest computed tomography (CT) in obstructive lung disease. This retrospective …

Different risks of mortality and longitudinal transition trajectories in new potential subtypes of the preserved ratio impaired spirometry: evidence from the English …

D He, Y Sun, M Gao, Q Wu, Z Cheng, J Li… - Frontiers in …, 2021 - frontiersin.org
Background: Preserved ratio impaired spirometry (PRISm), characterized by the decreased
forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC) with a preserved …

Artificial Intelligence in Chronic Obstructive Pulmonary Disease: Research Status, Trends, and Future Directions--A Bibliometric Analysis from 2009 to 2023

H Bian, S Zhu, Y Zhang, Q Fei, X Peng… - … Journal of Chronic …, 2024 - Taylor & Francis
Objective A bibliometric analysis was conducted using VOSviewer and CiteSpace to
examine studies published between 2009 and 2023 on the utilization of artificial intelligence …

Application of P4 (Predictive, Preventive, Personalized, Participatory) Approach to Occupational Medicine.

P Boffetta, G Collatuzzo - La Medicina del lavoro, 2022 - europepmc.org
In recent years there has been a growth in the role of prevention in controlling the disease
burden. Increasing efforts have been conveyed in the screening implementation and public …