AIMC Topic: Lung Neoplasms

Clear Filters Showing 151 to 160 of 1666 articles

CZT-based photon-counting-detector CT with deep-learning reconstruction: image quality and diagnostic confidence for lung tumor assessment.

Japanese journal of radiology Mar 7, 2025
PURPOSE: This is a preliminary analysis of one of the secondary endpoints in the prospective study cohort. The aim of this study is to assess the image quality and diagnostic confidence for lung cancer of CT images generated by using cadmium-zinc-tel...
Male Lung Deep Learning Tomography, X-Ray Computed Female Aged Radiographic Image Interpretation, Computer-Assisted Cadmium Photons Zinc Lung Neoplasms Tellurium Humans Prospective Studies
View on PubMed DOI

Prediction of STAS in lung adenocarcinoma with nodules ≤ 2 cm using machine learning: a multicenter retrospective study.

BMC cancer Mar 7, 2025
BACKGROUND AND OBJECTIVE: Spread through air spaces (STAS) is an important factor in determining the aggressiveness and recurrence risk of lung cancer, especially in early-stage adenocarcinoma. Preoperative identification of STAS is crucial for optim...
Adenocarcinoma of Lung ROC Curve Lung Neoplasms Humans Aged Male Middle Aged Machine Learning Retrospective Studies Female
View on PubMed DOI

A deep-learning model for quantifying circulating tumour DNA from the density distribution of DNA-fragment lengths.

Nature biomedical engineering Mar 7, 2025
The quantification of circulating tumour DNA (ctDNA) in blood enables non-invasive surveillance of cancer progression. Here we show that a deep-learning model can accurately quantify ctDNA from the density distribution of cell-free DNA-fragment lengt...
Biomarkers, Tumor Neoplasms Deep Learning Lung Neoplasms Whole Genome Sequencing Circulating Tumor DNA Humans Colorectal Neoplasms
View on PubMed DOI

AI integrations with lung cancer screening: Considerations in developing AI in a public health setting.

European journal of cancer (Oxford, England : 1990) Mar 6, 2025
Lung cancer screening implementation has led to expanded imaging of the chest in older, tobacco-exposed populations. Growing numbers of screening cases are also found to have CT-detectable emphysema or elevated levels of coronary calcium, indicating ...
Lung Neoplasms Early Detection of Cancer Public Health Image Processing, Computer-Assisted Humans Artificial Intelligence Tomography, X-Ray Computed
View on PubMed DOI

A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection.

Computers in biology and medicine Mar 6, 2025
Cancer is a severe threat to public health. Early diagnosis of disease is critical, but the lack of experts in this field, the personal assessment process, the clinical workload, and the high level of similarity in disease classes make it difficult. ...
Brain Neoplasms Neoplasms Deep Learning Humans Neural Networks, Computer Skin Neoplasms Lung Neoplasms
View on PubMed DOI

OMS-CNN: Optimized Multi-Scale CNN for Lung Nodule Detection Based on Faster R-CNN.

IEEE journal of biomedical and health informatics Mar 6, 2025
The global increase in lung cancer cases, often marked by pulmonary nodules, underscores the critical importance of timely detection to mitigate cancer progression and reduce morbidity and mortality. The Faster R-CNN approach is a two-stage, high-pre...
Algorithms Tomography, X-Ray Computed Lung Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
View on PubMed DOI

Artificial intelligence-based deep learning algorithms for ground-glass opacity nodule detection: A review.

Narra J Mar 5, 2025
Ground-glass opacities (GGOs) are hazy opacities on chest computed tomography (CT) scans that can indicate various lung diseases, including early COVID-19, pneumonia, and lung cancer. Artificial intelligence (AI) is a promising tool for analyzing med...
Sensitivity and Specificity Deep Learning Lung Neoplasms COVID-19 Humans Algorithms Artificial Intelligence Tomography, X-Ray Computed
View on PubMed DOI

Impact of [F]FDG PET/CT Radiomics and Artificial Intelligence in Clinical Decision Making in Lung Cancer: Its Current Role.

Seminars in nuclear medicine Mar 5, 2025
Lung cancer remains one of the most prevalent cancers globally and the leading cause of cancer-related deaths, accounting for nearly one-fifth of all cancer fatalities. Fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography ([F]FDG...
Fluorodeoxyglucose F18 Lung Neoplasms Positron Emission Tomography Computed Tomography Humans Artificial Intelligence Clinical Decision-Making Radiomics Image Processing, Computer-Assisted
View on PubMed DOI

Preoperative Maximum Standardized Uptake Value Emphasized in Explainable Machine Learning Model for Predicting the Risk of Recurrence in Resected Non-Small Cell Lung Cancer.

JCO clinical cancer informatics Mar 5, 2025
PURPOSE: To comprehensively analyze the association between preoperative maximum standardized uptake value (SUV) on 18F-fluorodeoxyglucose positron emission tomography-computed tomography and postoperative recurrence in resected non-small cell lung c...
Retrospective Studies Female Aged Humans Machine Learning Prognosis Lung Neoplasms Carcinoma, Non-Small-Cell Lung Positron Emission Tomography Computed Tomography Male Middle Aged ROC Curve Preoperative Period Neoplasm Recurrence, Local Fluorodeoxyglucose F18
View on PubMed DOI

Comparing Artificial Intelligence and Traditional Regression Models in Lung Cancer Risk Prediction Using A Systematic Review and Meta-Analysis.

Journal of the American College of Radiology : JACR Mar 4, 2025
PURPOSE: Accurately identifying individuals who are at high risk of lung cancer is critical to optimize lung cancer screening with low-dose CT (LDCT). We sought to compare the performance of traditional regression models and artificial intelligence (...
Tomography, X-Ray Computed Risk Assessment Lung Neoplasms Regression Analysis Humans Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals