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Follow-up computed tomography scan in post-COVID-19 pneumonia

World Journal of Radiology 2022年第4期14卷 104-106页

作者： Asad Chohan Saiara Choudhury rahul dadhwal Abhay P Vakil Rene Franco Pahnwat Tonya Taweesedt Pulmonary Medicine Corpus Christi Medical CenterCorpus ChristiTX 78411United States

The coronavirus disease 2019(COVID-19)global pandemic can be a severe illness that leads to morbidity and *** the increasing number of COVID-19 pneumonia survivors,several long-term changes may persist,including abnormal imaging of lung *** addition to the clinical course,it is vital to follow up on pulmonary imaging during the post-infectious period,which is not routinely required in other common pulmonary *** tomography(CT)scan of the chest is an effective and diagnostic tool for pneumonia which gives an insight into structural abnormalities within the lungs,complications,and possible progression of the *** studies have monitored COVID-19 pneumonia and its complications using serial CT chest imaging from the initial phase of infection,hospitalization,and ***,long-term follow-up imaging data in post-COVID-19 is still *** have summarized the findings utilizing a systematic review of the literature regarding COVID-19 pneumonia imaging,including long-term follow-up.

关键词： COVID-19 Pneumonia Computed tomography Evolution Progression

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Applications of artificial intelligence in common pulmonary diseases

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Artificial Intelligence in Medical Imaging 2022年第1期3卷 1-7页

作者： Saiara Choudhury Asad Chohan rahul dadhwal Abhay P Vakil Rene Franco Pahnwat Tonya Taweesedt Department of Pulmonary Medicine Corpus Christi Medical CenterCorpus ChristiTX 78411United States

Artificial intelligence(AI)is a branch of computer science where machines are trained to imitate human-level intelligence and perform well-defined *** can provide accurate results as well as analyze vast amounts of data that cannot be analyzed via conventional statistical *** has been utilized in pulmonary medicine for almost two decades and its utilization continues to *** can help in making diagnoses and predicting outcomes in pulmonary diseases based on clinical data,chest imaging,lung pathology,and pulmonary function ***-based applications enable physicians to use enormous amounts of data and improve their precision in the treatment of pulmonary *** the growing role of AI in pulmonary medicine,it is important for practitioners caring for patients with pulmonary diseases to understand how AI can work in order to implement it into clinical practices and improve patient *** goal of this mini-review is to discuss the use of AI in pulmonary medicine and imaging in cases of obstructive lung disease,interstitial lung disease,infections,nodules,and lung cancer.

关键词： Artificial intelligence Machine learning Imaging Lung Respiratory Pulmonary disease Coronavirus disease 2019

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