AIMC Topic: Lung

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Standigm ASK™: knowledge graph and artificial intelligence platform applied to target discovery in idiopathic pulmonary fibrosis.

Briefings in bioinformatics Jan 22, 2024
Standigm ASK™ revolutionizes healthcare by addressing the critical challenge of identifying pivotal target genes in disease mechanisms-a fundamental aspect of drug development success. Standigm ASK™ integrates a unique combination of a heterogeneous ...
Lung Idiopathic Pulmonary Fibrosis Pattern Recognition, Automated Humans Artificial Intelligence
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Drive Pressure-Guided Individualized Positive End-Expiratory Pressure in Traumatic Brain Injury Surgery: A Randomized Controlled Trial.

Annali italiani di chirurgia Jan 1, 2024
AIM: Intraoperative lung-protective ventilation strategies (LPVS) have been shown to improve lung oxygenation and prevent postoperative pulmonary problems in surgical patients. However, the application of positive end-expiratory pressure (PEEP)-based...
Lung Ultrasonography HMGB1 Protein Male Humans Brain Injuries, Traumatic Tidal Volume Optic Nerve Female Middle Aged Adult Positive-Pressure Respiration Postoperative Complications Phosphopyruvate Hydratase
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Predicting Immune Checkpoint Inhibitor-Related Pneumonitis via Computed Tomography and Whole-Lung Analysis Deep Learning.

Current medical imaging Jan 1, 2024
BACKGROUND: Immune checkpoint inhibitor-related pneumonitis (ICI-P) is a fatal adverse event of immunotherapy. However, there is a lack of methods to identify patients who have a high risk of developing ICI-P in immunotherapy.
Tomography, X-Ray Computed Deep Learning Pneumonia Male Female Immune Checkpoint Inhibitors Humans Aged Lung Neoplasms Middle Aged Prognosis Adult Immunotherapy Lung
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Can AI generate diagnostic reports for radiologist approval on CXR images? A multi-reader and multi-case observer performance study.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Accurately detecting a variety of lung abnormalities from heterogenous chest X-ray (CXR) images and writing radiology reports is often difficult and time-consuming.
Young Adult Adult Sensitivity and Specificity Lung Adolescent Male Middle Aged Retrospective Studies Female Humans Observer Variation Aged Radiologists Artificial Intelligence Radiography, Thoracic Radiographic Image Interpretation, Computer-Assisted Lung Diseases
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The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis.

Therapeutic advances in respiratory disease Jan 1, 2024
The review summarizes the applications of CT and AI algorithms for prognostic models in IPF and procedures of model construction. It reveals the current limitations and prospects of AI-aid models, and helps clinicians to recognize the AI algorithms a...
Algorithms Prognosis Tomography, X-Ray Computed Predictive Value of Tests Lung Humans Idiopathic Pulmonary Fibrosis Artificial Intelligence
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CvTMorph: Improving Local Feature Extraction in Medical Image Registration for Respiratory Motion Modeling with Convolutional Vision Transformer.

Current medical imaging Jan 1, 2024
BACKGROUND: Accurately modeling respiratory motion in medical images is crucial for various applications, including radiation therapy planning. However, existing registration methods often struggle to extract local features effectively, limiting thei...
Four-Dimensional Computed Tomography Image Processing, Computer-Assisted Respiration Movement Neural Networks, Computer Algorithms Humans Lung
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Enhancing Organizing Pneumonia Diagnosis: A Novel Super-token Transformer Approach for Masson Body Segmentation.

In vivo (Athens, Greece) Jan 1, 2024
BACKGROUND/AIM: In this study, we introduce an innovative deep-learning model architecture aimed at enhancing the accuracy of detecting and classifying organizing pneumonia (OP), a condition characterized by the presence of Masson bodies within the a...
Humans Image Processing, Computer-Assisted Pneumonia Algorithms Image Interpretation, Computer-Assisted Lung Organizing Pneumonia Deep Learning
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TO-LAB model: Real time Touchless Lung Abnormality detection model using USRP based machine learning algorithm.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Due to the increasing prevalence of respiratory diseases and the importance of early diagnosis. The need for non-invasive and touchless medical diagnostic solutions has become increasingly crucial in modern healthcare to detect lung abnor...
Lung Diseases Heart Rate Humans Machine Learning Blood Pressure Signal Processing, Computer-Assisted Algorithms Lung
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Predicting patient-specific organ doses from thoracic CT examinations using support vector regression algorithm.

Journal of X-ray science and technology Jan 1, 2024
PURPOSE: This study aims to propose and develop a fast, accurate, and robust prediction method of patient-specific organ doses from CT examinations using minimized computational resources.
Algorithms Tomography, X-Ray Computed Female Aged Humans Lung Support Vector Machine Radiation Dosage Radiography, Thoracic Adult Male Middle Aged Monte Carlo Method
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DDA-SSNets: Dual decoder attention-based semantic segmentation networks for COVID-19 infection segmentation and classification using chest X-Ray images.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: COVID-19 needs to be diagnosed and staged to be treated accurately. However, prior studies' diagnostic and staging abilities for COVID-19 infection needed to be improved. Therefore, new deep learning-based approaches are required to aid r...
Pneumonia, Viral SARS-CoV-2 Lung Pandemics Humans Deep Learning Radiography, Thoracic COVID-19 Neural Networks, Computer Coronavirus Infections Betacoronavirus Semantics Algorithms
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