Literature DB >> 32166988

Artificial intelligence and machine learning in respiratory medicine.

Evgeni Mekov1, Marc Miravitlles2, Rosen Petkov1.   

Abstract

Introduction: The application of artificial intelligence (AI) and machine learning (ML) in medicine and in particular in respiratory medicine is an increasingly relevant topic.Areas covered: We aimed to identify and describe the studies published on the use of AI and ML in the field of respiratory diseases. The string '(((pulmonary) OR respiratory)) AND ((artificial intelligence) OR machine learning)' was used in PubMed as a search strategy. The majority of studies identified corresponded to the area of chronic obstructive pulmonary disease (COPD), in particular to COPD and chest computed tomography scans, interpretation of pulmonary function tests, exacerbations and treatment. Another field of interest is the application of AI and ML to the diagnosis of interstitial lung disease, and a few other studies were identified on the fields of mechanical ventilation, interpretation of images on chest X-ray and diagnosis of bronchial asthma.Expert opinion: ML may help to make clinical decisions but will not replace the physician completely. Human errors in medicine are associated with large financial losses, and many of them could be prevented with the help of AI and ML. AI is particularly useful in the absence of conclusive evidence of decision-making.

Entities:  

Keywords:  Artificial intelligence; COPD; machine learning; pulmonary fibrosis; respiratory diseases

Mesh:

Year:  2020        PMID: 32166988     DOI: 10.1080/17476348.2020.1743181

Source DB:  PubMed          Journal:  Expert Rev Respir Med        ISSN: 1747-6348            Impact factor:   3.772


  11 in total

Review 1.  What is new in computer vision and artificial intelligence in medical image analysis applications.

Authors:  Jimena Olveres; Germán González; Fabian Torres; José Carlos Moreno-Tagle; Erik Carbajal-Degante; Alejandro Valencia-Rodríguez; Nahum Méndez-Sánchez; Boris Escalante-Ramírez
Journal:  Quant Imaging Med Surg       Date:  2021-08

Review 2.  Which Current and Novel Diagnostic Avenues for Bacterial Respiratory Diseases?

Authors:  Héloïse Rytter; Anne Jamet; Mathieu Coureuil; Alain Charbit; Elodie Ramond
Journal:  Front Microbiol       Date:  2020-12-10       Impact factor: 5.640

3.  Assessment of the Risk of Severe Dengue Using Intrahost Viral Population in Dengue Virus Serotype 2 Patients via Machine Learning.

Authors:  Su-Jhen Hung; Huey-Pin Tsai; Ya-Fang Wang; Wen-Chien Ko; Jen-Ren Wang; Sheng-Wen Huang
Journal:  Front Cell Infect Microbiol       Date:  2022-02-10       Impact factor: 5.293

4.  Analyzing the Treatment of Patients with Acute Exacerbation of COPD with the Aid of Intelligent Diagnosis Method.

Authors:  Qina Jiang; Guangxiang Zhao; Shiyan Song; Yujuan Chen
Journal:  J Healthc Eng       Date:  2022-03-12       Impact factor: 2.682

5.  Deep-learning convolutional neural networks with transfer learning accurately classify COVID-19 lung infection on portable chest radiographs.

Authors:  Shreeja Kikkisetti; Jocelyn Zhu; Beiyi Shen; Haifang Li; Tim Q Duong
Journal:  PeerJ       Date:  2020-11-05       Impact factor: 2.984

Review 6.  Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19.

Authors:  Danai Khemasuwan; Jeffrey S Sorensen; Henri G Colt
Journal:  Eur Respir Rev       Date:  2020-10-01

7.  Assessing the risk of dengue severity using demographic information and laboratory test results with machine learning.

Authors:  Sheng-Wen Huang; Huey-Pin Tsai; Su-Jhen Hung; Wen-Chien Ko; Jen-Ren Wang
Journal:  PLoS Negl Trop Dis       Date:  2020-12-23

8.  Machine Learning Approaches for Predicting Acute Respiratory Failure, Ventilator Dependence, and Mortality in Chronic Obstructive Pulmonary Disease.

Authors:  Kuang-Ming Liao; Chung-Feng Liu; Chia-Jung Chen; Yu-Ting Shen
Journal:  Diagnostics (Basel)       Date:  2021-12-20

9.  Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare.

Authors:  Yi Xie; Lin Lu; Fei Gao; Shuang-Jiang He; Hui-Juan Zhao; Ying Fang; Jia-Ming Yang; Ying An; Zhe-Wei Ye; Zhe Dong
Journal:  Curr Med Sci       Date:  2021-12-24

Review 10.  Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease.

Authors:  Yinhe Feng; Yubin Wang; Chunfang Zeng; Hui Mao
Journal:  Int J Med Sci       Date:  2021-06-01       Impact factor: 3.738

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