AIMC Topic: Lung Neoplasms
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Predictive value of machine learning for PD-L1 expression in NSCLC: a systematic review and meta-analysis.
World journal of surgical oncology
May 22, 2025
BACKGROUND: As machine learning (ML) continuously develops in cancer diagnosis and treatment, some researchers have attempted to predict the expression of programmed death ligand-1 (PD-L1) in non-small cell lung cancer (NSCLC) by ML. However, there i...
Patient Reactions to Artificial Intelligence-Clinician Discrepancies: Web-Based Randomized Experiment.
Journal of medical Internet research
May 22, 2025
BACKGROUND: As the US Food and Drug Administration (FDA)-approved use of artificial intelligence (AI) for medical imaging rises, radiologists are increasingly integrating AI into their clinical practices. In lung cancer screening, diagnostic AI offer...
Multicenter development of a deep learning radiomics and dosiomics nomogram to predict radiation pneumonia risk in non-small cell lung cancer.
Scientific reports
May 16, 2025
Radiation pneumonia (RP) is the most common side effect of chest radiotherapy, and can affect patients' quality of life. This study aimed to establish a combined model of radiomics, dosiomics, deep learning (DL) based on simulated location CT and dos...
Patient-specific uncertainty calibration of deep learning-based autosegmentation networks for adaptive MRI-guided lung radiotherapy.
Physics in medicine and biology
May 16, 2025
Uncertainty assessment of deep learning autosegmentation (DLAS) models can support contour corrections in adaptive radiotherapy (ART), e.g. by utilizing Monte Carlo Dropout (MCD) uncertainty maps. However, poorly calibrated uncertainties at the patie...
Integrating Bulk and Single-Cell Transcriptomics with Machine Learning Reveals a Heme Metabolism-Based Panel for Lung Adenocarcinoma Chemotherapy Resistance.
International journal of molecular sciences
May 14, 2025
Lung adenocarcinoma (LUAD) is a leading cause of cancer-related mortality, with heme metabolism playing a critical role in tumor progression and treatment resistance. This study investigates the clinical implications of heme metabolism in LUAD, focus...
Humans
Machine Learning
Prognosis
Multidrug Resistance-Associated Proteins
Multidrug Resistance-Associated Protein 2
Lung Neoplasms
Gene Expression Regulation, Neoplastic
Ferroptosis
Drug Resistance, Neoplasm
Adenocarcinoma of Lung
Cisplatin
Transcriptome
Heme
Cell Line, Tumor
Female
Single-Cell Analysis
Antineoplastic Agents
Gene Expression Profiling
Classification of lung cancer severity using gene expression data based on deep learning.
BMC medical informatics and decision making
May 14, 2025
Lung cancer is one of the most prevalent diseases affecting people and is a main factor in the rising death rate. Recently, Machine Learning (ML) and Deep Learning (DL) techniques have been utilized to detect and classify various types of cancer, inc...
Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules.
BMC medical informatics and decision making
May 14, 2025
The application of artificial intelligence (AI) technology has realized the transformation of people's production and lifestyle, and also promoted the rapid development of the medical field. At present, the application of intelligence in the medical ...
M-GNN: A Graph Neural Network Framework for Lung Cancer Detection Using Metabolomics and Heterogeneous Graph Modeling.
International journal of molecular sciences
May 13, 2025
Lung cancer remains the leading cause of cancer-related mortality worldwide, with early detection critical for improving survival rates, yet conventional methods like CT scans often yield high false-positive rates. This study introduces M-GNN, a grap...
Artificial Intelligence-Guided Cancer Engineering for Tumor Normalization Executed by Tumor Lysosomal-Triggered Supramolecular Chiral Peptide.
ACS nano
May 13, 2025
Cancer engineering for tumor normalization offers a promising therapeutic strategy to reverse malignant cells and their supportive tumor microenvironment into a more benign state. Herein, an artificial intelligence (AI) approach was developed using m...
A systematic review and meta-analysis of lung cancer risk prediction models.
Acta oncologica (Stockholm, Sweden)
May 12, 2025
BACKGROUND: Lung cancer (LC) remains the leading cause of cancer-related mortality worldwide. Early detection through targeted screening significantly improves patient outcomes. However, identifying high-risk individuals remains a critical challenge.
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