AIMC Topic: Lung
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Artificial Intelligence Assessment of Chest Radiographs for COVID-19.
Clinical lymphoma, myeloma & leukemia
May 1, 2025
BACKGROUND: The sensitivity of reverse-transcription polymerase chain reaction (RT-PCR) is limited for diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Chest computed tomography (CT) is reported to have high sensitivity; how...
Artificial intelligence in bronchoscopy: a systematic review.
European respiratory review : an official journal of the European Respiratory Society
Apr 1, 2025
BACKGROUND: Artificial intelligence (AI) systems have been implemented to improve the diagnostic yield and operators' skills within endoscopy. Similar AI systems are now emerging in bronchoscopy. Our objective was to identify and describe AI systems ...
Effect of adaptive statistical iterative reconstruction-V algorithm and deep learning image reconstruction algorithm on image quality and emphysema quantification in COPD patients under ultra-low-dose conditions.
The British journal of radiology
Apr 1, 2025
PURPOSE: To explore the effect of different reconstruction algorithms (ASIR-V and DLIR) on image quality and emphysema quantification in chronic obstructive pulmonary disease (COPD) patients under ultra-low-dose scanning conditions.
Accuracy of artificial intelligence-based simulation for assessing lung vessels and volume using unenhanced computed tomography.
European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery
Mar 4, 2025
OBJECTIVES: The advantages of preoperative three-dimensional (3D) image simulations, which require enhanced computed tomography (ECT), for anatomical lung resection are well documented. However, the necessity for contrast agent presents a significant...
Performance of Lung Cancer Prediction Models for Screening-detected, Incidental, and Biopsied Pulmonary Nodules.
Radiology. Artificial intelligence
Mar 1, 2025
Purpose To evaluate the performance of eight lung cancer prediction models on patient cohorts with screening-detected, incidentally detected, and bronchoscopically biopsied pulmonary nodules. Materials and Methods This study retrospectively evaluated...
Artificial Intelligence-Guided Lung Ultrasound by Nonexperts.
JAMA cardiology
Mar 1, 2025
IMPORTANCE: Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those with cardiogenic pulmonary edema, but requires technical proficiency for image acquisition. Previous research has demonstrated the effectiveness of arti...
[Application of artificial intelligence in combination with CT radiomics in chronic obstructive pulmonary disease].
Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
Feb 12, 2025
As CT imaging is increasingly used for the evaluation of lung nodules and the diagnosis and screening of lung cancer in smokers, we have more opportunities to use CT images to identify patients with early-stage chronic obstructive pulmonary disease(C...
Automated Deep Learning-Based Detection and Segmentation of Lung Tumors at CT.
Radiology
Jan 1, 2025
Background Detection and segmentation of lung tumors on CT scans are critical for monitoring cancer progression, evaluating treatment responses, and planning radiation therapy; however, manual delineation is labor-intensive and subject to physician ...
Evaluating the Cumulative Benefit of Inspiratory CT, Expiratory CT, and Clinical Data for COPD Diagnosis and Staging through Deep Learning.
Radiology. Cardiothoracic imaging
Dec 1, 2024
Purpose To measure the benefit of single-phase CT, inspiratory-expiratory CT, and clinical data for convolutional neural network (CNN)-based chronic obstructive pulmonary disease (COPD) staging. Materials and Methods This retrospective study included...
Antiviral Effectiveness, Clinical Outcomes, and Artificial Intelligence Imaging Analysis for Hospitalized COVID-19 Patients Receiving Antivirals.
Influenza and other respiratory viruses
Sep 1, 2024
INTRODUCTION: There is still a lack of clinical evidence comprehensively evaluating the effectiveness of antiviral treatments for COVID-19 hospitalized patients.
Betacoronavirus
Pneumonia, Viral
Drug Combinations
Coronavirus Infections
Ritonavir
Retrospective Studies
Hospitalization
COVID-19 Drug Treatment
Tomography, X-Ray Computed
Aged
Humans
Adult
Female
Middle Aged
Artificial Intelligence
Male
SARS-CoV-2
Lung
Pandemics
Antiviral Agents
COVID-19
Treatment Outcome
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