Artificial intelligence and machine learning in respiratory medicine

Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests

(2019) Marko Topalovic et al.   EUROPEAN RESPIRATORY JOURNAL

Personalized medicine for patients with COPD: where are we?

(2019) Frits ME Franssen et al.   International Journal of Chronic Obstructive Pulmonary Disease

Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography

(2018) Germán González et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

Artificial intelligence in medicine: current trends and future possibilities

(2018) Varun H Buch et al.   BRITISH JOURNAL OF GENERAL PRACTICE

Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study

(2018) Simon L F Walsh et al.   Lancet Respiratory Medicine

Population-based study of LAMA monotherapy effectiveness compared with LABA/LAMA as initial treatment for COPD in primary care

(2018) Miriam Barrecheguren et al.   npj Primary Care Respiratory Medicine

Opening the black box of machine learning

(2018) The Lancet Respiratory Medicine   Lancet Respiratory Medicine

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

Characteristics of COPD patients initiating treatment with aclidinium or tiotropium in primary care in Catalonia: a population-based study

(2017) Mònica Monteagudo et al.   International Journal of Chronic Obstructive Pulmonary Disease

Mortality prediction in idiopathic pulmonary fibrosis: evaluation of computer-based CT analysis with conventional severity measures

(2016) Joseph Jacob et al.   EUROPEAN RESPIRATORY JOURNAL

Using a mobile health application to support self-management in chronic obstructive pulmonary disease: a six-month cohort study

(2015) Maxine Hardinge et al.   BMC Medical Informatics and Decision Making

Detecting COPD exacerbations early using daily telemonitoring of symptoms and k-means clustering: a pilot study

(2015) Daniel Sanchez-Morillo et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Automated quantification of radiological patterns predicts survival in idiopathic pulmonary fibrosis

(2013) F. Maldonado et al.   EUROPEAN RESPIRATORY JOURNAL