AIMC Topic: Lung Neoplasms

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Whole slide image-based weakly supervised deep learning for predicting major pathological response in non-small cell lung cancer following neoadjuvant chemoimmunotherapy: a multicenter, retrospective, cohort study.

Frontiers in immunology Sep 20, 2024
OBJECTIVE: Develop a predictive model utilizing weakly supervised deep learning techniques to accurately forecast major pathological response (MPR) in patients with resectable non-small cell lung cancer (NSCLC) undergoing neoadjuvant chemoimmunothera...
Deep Learning Aged Lung Neoplasms Adult Treatment Outcome Male Immunotherapy Humans Neoadjuvant Therapy Middle Aged Retrospective Studies Carcinoma, Non-Small-Cell Lung Female Supervised Machine Learning
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Radiomics-Based Support Vector Machine Distinguishes Molecular Events Driving the Progression of Lung Adenocarcinoma.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer Sep 19, 2024
INTRODUCTION: An increasing number of early-stage lung adenocarcinomas (LUAD) are detected as lung nodules. The radiological features related to LUAD progression warrant further investigation. Exploration is required to bridge the gap between radiomi...
Humans Prognosis Tomography, X-Ray Computed Female Aged Radiomics Male Support Vector Machine Adenocarcinoma of Lung Middle Aged Disease Progression Lung Neoplasms
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Artificial intelligence-assisted quantitative CT parameters in predicting the degree of risk of solitary pulmonary nodules.

Annals of medicine Sep 19, 2024
INTRODUCTION: Artificial intelligence (AI) shows promise for evaluating solitary pulmonary nodules (SPNs) on computed tomography (CT). Accurately determining cancer invasiveness can guide treatment. We aimed to investigate quantitative CT parameters ...
Solitary Pulmonary Nodule Neoplasm Invasiveness Retrospective Studies Middle Aged Tomography, X-Ray Computed Lung Neoplasms Female Aged Humans Carcinoma, Non-Small-Cell Lung Aged, 80 and over Artificial Intelligence Adult Male
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Human lung cancer classification and comprehensive analysis using different machine learning techniques.

Microscopy research and technique Sep 18, 2024
Lung cancer is the most common causes of death among all cancer-related diseases. A lung scan examination of the patient is the primary diagnostic technique. This scan analysis pertains to an MRI, CT, or X-ray. The automated classification of lung ca...
Bayes Theorem Algorithms Tomography, X-Ray Computed Lung Image Processing, Computer-Assisted Lung Neoplasms Support Vector Machine Decision Trees Humans Machine Learning
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Deep Learning Model for Pathological Grading and Prognostic Assessment of Lung Cancer Using CT Imaging: A Study on NLST and External Validation Cohorts.

Academic radiology Sep 17, 2024
RATIONALE AND OBJECTIVES: To develop and validate a deep learning model for automated pathological grading and prognostic assessment of lung cancer using CT imaging, thereby providing surgeons with a non-invasive tool to guide surgical planning.
Tomography, X-Ray Computed Female Reproducibility of Results Aged Humans Prognosis Deep Learning Cohort Studies Lung Neoplasms Carcinoma, Non-Small-Cell Lung Sensitivity and Specificity Male Middle Aged Neoplasm Grading
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Leveraging immuno-fluorescence data to reduce pathologist annotation requirements in lung tumor segmentation using deep learning.

Scientific reports Sep 16, 2024
The main bottleneck in training a robust tumor segmentation algorithm for non-small cell lung cancer (NSCLC) on H&E is generating sufficient ground truth annotations. Various approaches for generating tumor labels to train a tumor segmentation model ...
Pathologists Humans Deep Learning Algorithms Image Processing, Computer-Assisted Lung Neoplasms Carcinoma, Non-Small-Cell Lung
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Use machine learning to predict pulmonary metastasis of esophageal cancer: a population-based study.

Journal of cancer research and clinical oncology Sep 16, 2024
BACKGROUND: This study aims to establish a predictive model for assessing the risk of esophageal cancer lung metastasis using machine learning techniques.
Humans SEER Program Female Machine Learning Middle Aged Risk Factors Lung Neoplasms Aged Esophageal Neoplasms Male
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An enhanced Garter Snake Optimization-assisted deep learning model for lung cancer segmentation and classification using CT images.

Journal of medical engineering & technology Sep 16, 2024
An early detection of lung tumors is critical for better treatment results, and CT scans can reveal lumps in the lungs which are too small to be picked up by conventional X-rays. CT imaging has advantages, but it also exposes a person to radiation fr...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Humans Algorithms
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Pulmonary nodule visualization and evaluation of AI-based detection at various ultra-low-dose levels using photon-counting detector CT.

Acta radiologica (Stockholm, Sweden : 1987) Sep 15, 2024
BACKGROUND: Radiation dose should be as low as reasonably achievable. With the invention of photon-counting detector computed tomography (PCD-CT), the radiation dose may be considerably reduced.
Humans Artificial Intelligence Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Phantoms, Imaging Photons Lung Lung Neoplasms Solitary Pulmonary Nodule
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Artificial Intelligence Algorithm Can Predict Lymph Node Malignancy from Endobronchial Ultrasound Transbronchial Needle Aspiration Images for Non-Small Cell Lung Cancer.

Respiration; international review of thoracic diseases Sep 14, 2024
INTRODUCTION: Endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) for lung cancer staging is operator dependent, resulting in high rates of non-diagnostic lymph node (LN) samples. We hypothesized that an artificial intelligence (AI)...
Endoscopic Ultrasound-Guided Fine Needle Aspiration Algorithms Female Middle Aged Carcinoma, Non-Small-Cell Lung Humans Aged Lung Neoplasms Lymphatic Metastasis Neural Networks, Computer Male Lymph Nodes Predictive Value of Tests Artificial Intelligence Neoplasm Staging
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