AIMC Topic: Lung Neoplasms

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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...
Early Detection of Cancer Tomography, X-Ray Computed Humans Image Processing, Computer-Assisted Neural Networks, Computer Lung Neoplasms
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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...
Blood Platelets Biomarkers, Tumor Lung Neoplasms 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...
Humans Artificial Intelligence Lung Radiomics Lung Neoplasms
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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...
Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Middle Aged Deep Learning Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Female Aged Sensitivity and Specificity Male Humans
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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...
Humans Machine Learning MicroRNAs Computers, Molecular Biomarkers, Tumor Lung Neoplasms Carcinoma, Non-Small-Cell Lung
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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...
Humans Male Algorithms Middle Aged Carcinoma, Non-Small-Cell Lung Tomography, X-Ray Computed Deep Learning ROC Curve Aged Female Radiomics Lung Neoplasms B7-H1 Antigen
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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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Preoperative prediction of pulmonary ground-glass nodule infiltration status by CT-based radiomics combined with neural networks.

BMC cancer Apr 10, 2025
OBJECTIVE: The infiltration status of pulmonary ground-glass nodules (GGNs) exhibits significant variability, demanding tailored surgical strategies and individualized postoperative adjuvant therapies. This study explored the preoperative assessment ...
Radiomics Male Middle Aged Lung Neoplasms Humans Solitary Pulmonary Nodule Neural Networks, Computer Female Preoperative Care Pneumonectomy Retrospective Studies Aged Preoperative Period Adult Tomography, X-Ray Computed
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Lung nodule detection using a multi-scale convolutional neural network and global channel spatial attention mechanisms.

Scientific reports Apr 10, 2025
Early detection of lung nodules is crucial for the prevention and treatment of lung cancer. However, current methods face challenges such as missing small nodules, variations in nodule size, and high false positive rates. To address these challenges,...
Tomography, X-Ray Computed Humans Convolutional Neural Networks Algorithms Solitary Pulmonary Nodule Lung Neoplasms False Positive Reactions
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MLG2Net: Molecular Global Graph Network for Drug Response Prediction in Lung Cancer Cell Lines.

Journal of medical systems Apr 10, 2025
Drug response prediction (DRP) is a central task in the era of precision medicine. Over the past decade, the emergence of deep learning (DL) has greatly contributed to addressing DRP challenges. Notably, the prediction of DRP for cancer cell lines be...
Cell Line, Tumor Lung Neoplasms Adenocarcinoma of Lung Antineoplastic Agents Deep Learning Pharmacogenetics Neural Networks, Computer Precision Medicine Humans
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