AIMC Topic: Lung Neoplasms

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Single-Cell Sequencing-Guided Annotation of Rare Tumor Cells for Deep Learning-Based Cytopathologic Diagnosis of Early Lung Cancer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 15, 2025
Deep learning (DL) models for medical image analysis are majorly bottlenecked by the lack of well-annotated datasets. Bronchoalveolar lavage (BAL) is a minimally invasive procedure to diagnose lung cancer, but BAL cytology suffers from low sensitivit...
Bronchoalveolar Lavage Fluid Male Deep Learning Single-Cell Analysis Lung Neoplasms Early Detection of Cancer Cytodiagnosis Humans Female
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Prediction of postoperative intensive care unit admission with artificial intelligence models in non-small cell lung carcinoma.

European journal of medical research Apr 15, 2025
BACKGROUND: There is no standard practice for intensive care admission after non-small cell lung cancer surgery. In this study, we aimed to determine the need for intensive care admission after non-small cell lung cancer surgery with deep learning mo...
Patient Admission Lung Neoplasms Carcinoma, Non-Small-Cell Lung Postoperative Care Artificial Intelligence Intensive Care Units Humans Male Algorithms Female Neural Networks, Computer Middle Aged Retrospective Studies Aged Deep Learning
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Development and validation of a nomogram model of lung metastasis in breast cancer based on machine learning algorithm and cytokines.

BMC cancer Apr 14, 2025
BACKGROUND: The relationship between cytokines and lung metastasis (LM) in breast cancer (BC) remains unclear and current clinical methods for identifying breast cancer lung metastasis (BCLM) lack precision, thus underscoring the need for an accurate...
Lung Neoplasms Nomograms Middle Aged Risk Assessment ROC Curve Adult Breast Neoplasms Humans Female Machine Learning Risk Factors Aged Algorithms Cytokines Retrospective Studies
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Explainable AI for lung cancer detection via a custom CNN on CT images.

Scientific reports Apr 13, 2025
Lung cancer, which claims 1.8 million lives annually, is still one of the leading causes of cancer-related deaths globally. Patients with lung cancer frequently have a bad prognosis because of late-stage detection, which severely limits treatment opt...
Humans Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Lung Neoplasms Early Detection of Cancer
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Tumor-educated platelets in lung cancer.

Clinica chimica acta; international journal of clinical chemistry Apr 12, 2025
Non-invasive diagnostic monitoring techniques have become essential for treating lung cancer (LC), which continues to be the primary cause of cancer-related death worldwide. The new diagnostic biomarkers called tumour-educated platelets (TEPs) show s...
Biomarkers, Tumor Lung Neoplasms Blood Platelets Humans Tumor Microenvironment
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Radiomics for lung cancer diagnosis, management, and future prospects.

Clinical radiology Apr 11, 2025
Lung cancer remains the leading cause of cancer-related mortality worldwide, with its early detection and effective treatment posing significant clinical challenges. Radiomics, the extraction of quantitative features from medical imaging, has emerged...
Radiomics Lung Lung Neoplasms Humans Artificial Intelligence
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A comparison of an integrated and image-only deep learning model for predicting the disappearance of indeterminate pulmonary nodules.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 11, 2025
BACKGROUND: Indeterminate pulmonary nodules (IPNs) require follow-up CT to assess potential growth; however, benign nodules may disappear. Accurately predicting whether IPNs will resolve is a challenge for radiologists. Therefore, we aim to utilize d...
Humans Lung Neoplasms Retrospective Studies Multiple Pulmonary Nodules Tomography, X-Ray Computed Solitary Pulmonary Nodule Female Male Aged Middle Aged Sensitivity and Specificity Deep Learning Radiographic Image Interpretation, Computer-Assisted
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DNA Molecular Computing with Weighted Signal Amplification for Cancer miRNA Biomarker Diagnostics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 11, 2025
The expression levels of microRNAs (miRNAs) are strongly linked to cancer progression, making them promising biomarkers for cancer detection. Enzyme-free signal amplification DNA circuits have facilitated the detection of low-abundance miRNAs. Howeve...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung MicroRNAs Humans Machine Learning Biomarkers, Tumor Computers, Molecular
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Predicting PD-L1 status in NSCLC patients using deep learning radiomics based on CT images.

Scientific reports Apr 11, 2025
Radiomics refers to the utilization of automated or semi-automated techniques to extract and analyze numerous quantitative features from medical images, such as computerized tomography (CT) or magnetic resonance imaging (MRI) scans. This study aims t...
Carcinoma, Non-Small-Cell Lung Lung Neoplasms B7-H1 Antigen Aged Radiomics Male Middle Aged Deep Learning Algorithms ROC Curve Humans Tomography, X-Ray Computed Female
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Semi-supervised temporal attention network for lung 4D CT ventilation estimation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 10, 2025
Computed tomography (CT)-derived ventilation estimation, also known as CT ventilation imaging (CTVI), is emerging as a potentially crucial tool for designing functional avoidance radiotherapy treatment plans and evaluating therapy responses. However,...
Lung Neoplasms Supervised Machine Learning Four-Dimensional Computed Tomography Humans Lung
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