AIMC Topic: Lung
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Machine learning-driven imaging data for early prediction of lung toxicity in breast cancer radiotherapy.
Scientific reports
May 27, 2025
One possible adverse effect of breast irradiation is the development of pulmonary fibrosis. The aim of this study was to determine whether planning CT scans can predict which patients are more likely to develop lung lesions after treatment. A retrosp...
[Development and validation of risk assessment models for abnormal lung function in coal workers based on machine learning].
Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases
May 20, 2025
To analyze the factors influencing the lung function of coal miners, identify the optimal combination of indicators for evaluating lung function, develop a risk assessment model using machine learning, and offer personalized risk assessment for work...
Assessing fetal lung maturity: Integration of ultrasound radiomics and deep learning.
African journal of reproductive health
May 16, 2025
This study built a model to forecast the maturity of lungs by blending radiomics and deep learning methods. We examined ultrasound images from 263 pregnancies in the pregnancy stages. Utilizing the GE VOLUSON E8 system we captured images to extract a...
AI-Based Quantitative CT Analysis of Temporal Changes According to Disease Severity in COVID-19 Pneumonia.
Journal of computer assisted tomography
May 13, 2025
OBJECTIVE: To quantitatively evaluate computed tomography (CT) parameters of coronavirus disease 2019 (COVID-19) pneumonia an artificial intelligence (AI)-based software in different clinical severity groups during the disease course.
Retrospective Studies
Tomography, X-Ray Computed
Female
Reproducibility of Results
SARS-CoV-2
Aged
Aged, 80 and over
Young Adult
Humans
Artificial Intelligence
COVID-19
Radiographic Image Interpretation, Computer-Assisted
Time
Lung
Adult
Severity of Illness Index
Sensitivity and Specificity
Adolescent
Male
Evaluation Studies as Topic
Middle Aged
Use of a Dual Artificial Intelligence Platform to Detect Unreported Lung Nodules.
Journal of computer assisted tomography
May 13, 2025
OBJECTIVE: To investigate the performance of Dual-AI Deep Learning Platform in detecting unreported pulmonary nodules that are 6 mm or greater, comprising computer-vision (CV) algorithm to detect pulmonary nodules, with positive results filtered by n...
[Advances in pulmonary pathology in China over the past ten years: retrospect and prospect].
Zhonghua bing li xue za zhi = Chinese journal of pathology
May 8, 2025
Over the past decade, China has made remarkable achievements in the updating of molecular characteristics and diagnostic criteria of lung cancer, pathological characteristics of COVID-19, classification scheme of interstitial lung disease, applicatio...
Successful Application of Artificial Intelligence-Assisted Analysis of Invasive Pulmonary Adenocarcinoma Less Than 6 mm in Size: A Case Report and Literature Review.
The clinical respiratory journal
May 1, 2025
INTRODUCTION: Screening of lung nodules helps on early diagnosis of lung cancer, especially invasive pulmonary adenocarcinoma. Artificial intelligence (AI) has been applied in diagnosis of cancers. We used the AI-assisted lung nodule diagnostic syste...
Association of Deep Learning-based Chest CT-derived Respiratory Parameters with Disease Progression in Amyotrophic Lateral Sclerosis.
Radiology
May 1, 2025
Background Forced vital capacity (FVC) is a standard measure of respiratory function in patients with amyotrophic lateral sclerosis (ALS) but has limitations, particularly for patients with bulbar impairment. Purpose To determine the value of deep le...
Artificial intelligence driven 3D reconstruction for enhanced lung surgery planning.
Nature communications
May 1, 2025
The increasing complexity of lung surgeries necessitates the need for enhanced imaging support to improve the precision and efficiency of preoperative planning. Despite the promise of 3D reconstruction, clinical adoption remains limited due to time c...
Predicting Respiratory Disease Mortality Risk Using Open-Source AI on Chest Radiographs in an Asian Health Screening Population.
Radiology. Artificial intelligence
May 1, 2025
Purpose To assess the prognostic value of an open-source deep learning-based chest radiographs algorithm, CXR-Lung-Risk, for stratifying respiratory disease mortality risk among an Asian health screening population using baseline and follow-up chest ...
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