Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)

S Xu, RC Deo, J Soar, PD Barua, O Faust… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective Obstructive airway diseases, including asthma and
Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic …

Quantifying the drug response of patient-derived organoid clusters by aggregated morphological indicators with multi-parameters based on optical coherence …

L Zhang, L Wang, S Yang, K He, D Bao… - Biomedical Optics …, 2023 - opg.optica.org
Patient-derived organoids (PDOs) serve as excellent tools for personalized drug screening
to predict clinical outcomes of cancer treatment. However, current methods for efficient …

[HTML][HTML] Applications of artificial intelligence in common pulmonary diseases

S Choudhury, A Chohan, R Dadhwal… - Artificial Intelligence in …, 2022 - wjgnet.com
Artificial intelligence (AI) is a branch of computer science where machines are trained to
imitate human-level intelligence and perform well-defined tasks. AI can provide accurate …

Study on Predicting Clinical Stage of Patients with Bronchial Asthma Based on CT Radiomics

X Chen, X Wang, S Huang, W Luo, Z Luo… - Journal of Asthma and …, 2024 - Taylor & Francis
Objective To explore the value of a new model based on CT radiomics in predicting the
staging of patients with bronchial asthma (BA). Methods Patients with BA from 2018 to 2021 …

Clinical efficacy of bronchoalveolar lavage in the treatment of small airway diseases in children

L Zhou, X Peng, L Cao, L Zhang, H Xiang - Frontiers in Pediatrics, 2024 - frontiersin.org
Objective This study aimed to evaluate the efficacy of bronchoalveolar lavage (BAL) in the
treatment of children with small airway diseases. Methods Children [n= 112; boys: 76, girls …

[HTML][HTML] Artificial intelligence in respiratory medicine: The journey so far–A review

K Kalaiyarasan, R Sridhar - Journal of Association of …, 2023 - journals.lww.com
The integration of artificial intelligence (AI) and the medical field has opened a wide range of
possibilities. Currently, the role of AI in the medical field is limited to image analysis …

[HTML][HTML] Thoracic imaging in China: yesterday, today, and tomorrow

L Fan, W Yang, W Tu, X Zhou, Q Zou… - Journal of Thoracic …, 2022 - journals.lww.com
Thoracic imaging has been revolutionized through advances in technology and research
around the world, and so has China. Thoracic imaging in China has progressed from …

Evaluation of the Efficacy of Statins in the Treatment of Coronary Artery Plaque Using Dual‐Source Spiral Computed Tomography Image Features under Deep …

W Yu, H Ji, Q Tan - Scientific Programming, 2022 - Wiley Online Library
This study aimed at discussing deep learning‐based dual‐source spiral computed
tomography (DSCT) image in the evaluation of the efficacy of statins in the treatment of …

کاربرد هوش مصنوعی در تشخیص بیماریهای ریوی

مریم قنبری, سهامه محبی, سمیه عرب زاده - فصلنامه نفس‎ - journals.sbmu.ac.ir
هوش مصنوعی و یادگیری ماشین به عنوان زیرمجموعه آن، شاخه‌ای از علوم کامپیوتر است که در آن
ماشین‌ها برای تقلید از هوش انسان و انجام کارهای تعریف شده آموزش می‌بینند. نتایج دقیق و تجزیه و …