Detalhe da pesquisa
1.
Estimating individual treatment effects on COPD exacerbations by causal machine learning on randomised controlled trials.
Thorax
; 78(10): 983-989, 2023 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-37012070
2.
Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation.
Eur Respir J
; 61(5)2023 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-37080566
3.
Principal component analysis of flow-volume curves in COPDGene to link spirometry with phenotypes of COPD.
Respir Res
; 24(1): 20, 2023 Jan 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-36658542
4.
Applications of artificial intelligence and machine learning in respiratory medicine.
Thorax
; 75(8): 695-701, 2020 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-32409611
5.
Deep-learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteria.
Eur Respir J
; 56(6)2020 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-32527741
6.
Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests.
Eur Respir J
; 53(4)2019 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-30765505
7.
Implications of the new ERS/ATS standards on the interpretation of lung function tests.
Eur Respir J
; 61(3)2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36858442
8.
Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential.
Curr Opin Pulm Med
; 24(2): 117-123, 2018 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-29251699
9.
Evaluation of the Global Lung Function Initiative 2012 reference values for spirometry in China: a national cross-sectional study.
Eur Respir J
; 60(6)2022 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-35926877
10.
Non-linear parameters of specific resistance loops to characterise obstructive airways diseases.
Respir Res
; 18(1): 9, 2017 01 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-28068996
11.
Automated Interpretation of Pulmonary Function Tests in Adults with Respiratory Complaints.
Respiration
; 93(3): 170-178, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-28088797
12.
Airways resistance and specific conductance for the diagnosis of obstructive airways diseases.
Respir Res
; 16: 88, 2015 Jul 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-26194099
13.
Using dynamics of forced expiration to identify COPD where conventional criteria for the FEV1 /FVC ratio do not match.
Respirology
; 20(6): 925-31, 2015 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-25880716
14.
Artificial intelligence for pulmonary function test interpretation.
Eur Respir J
; 53(6)2019 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-31167887
15.
Computer quantification of airway collapse on forced expiration to predict the presence of emphysema.
Respir Res
; 14: 131, 2013 Nov 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-24251975
16.
Predicting total lung capacity from spirometry: a machine learning approach.
Front Med (Lausanne)
; 10: 1174631, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37275373
17.
Artificial intelligence based software facilitates spirometry quality control in asthma and COPD clinical trials.
ERJ Open Res
; 9(1)2023 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-36776483
18.
Machine learning to differentiate pulmonary hypertension due to left heart disease from pulmonary arterial hypertension.
ERJ Open Res
; 9(5)2023 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-37727672
19.
Spirometry services in England post-pandemic and the potential role of AI support software: a qualitative study of challenges and opportunities.
Br J Gen Pract
; 73(737): e915-e923, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37903639
20.
Inspiratory muscle training improves breathing pattern during exercise in COPD patients.
Eur Respir J
; 47(4): 1261-4, 2016 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-26917617