AIMC Topic: Lung Neoplasms

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Development and validation of machine learning models for diagnosis and prognosis of lung adenocarcinoma, and immune infiltration analysis.

Scientific reports Sep 27, 2024
The aim of our study was to develop robust diagnostic and prognostic models for lung adenocarcinoma (LUAD) using machine learning (ML) techniques, focusing on early immune infiltration. Feature selection was performed on The Cancer Genome Atlas (TCGA...
Gene Expression Regulation, Neoplastic Support Vector Machine Lymphocytes, Tumor-Infiltrating Adenocarcinoma of Lung Machine Learning Gene Expression Profiling Algorithms ROC Curve Prognosis Lung Neoplasms Biomarkers, Tumor Humans
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Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis.

Scientific reports Sep 27, 2024
Deep learning-assisted digital pathology has demonstrated the potential to profoundly impact clinical practice, even surpassing human pathologists in performance. However, as deep neural network (DNN) architectures grow in size and complexity, their ...
Humans Neural Networks, Computer Brain Neoplasms Lung Neoplasms Carcinoma, Non-Small-Cell Lung Deep Learning Image Processing, Computer-Assisted
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Impact of the number of dissected lymph nodes on machine learning-based prediction of postoperative lung cancer recurrence: a single-hospital retrospective cohort study.

BMJ open respiratory research Sep 26, 2024
BACKGROUND: The optimal number of lymph nodes to be dissected during lung cancer surgery to minimise the postoperative recurrence risk remains undetermined. This study aimed to elucidate the impact of the number of dissected lymph nodes on the risk o...
Lung Neoplasms Lymph Nodes Carcinoma, Non-Small-Cell Lung Pneumonectomy Neoplasm Recurrence, Local Lymphatic Metastasis Lymph Node Excision Female Aged Male Middle Aged Humans Machine Learning Retrospective Studies
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Integrating machine learning and multi-omics analysis to develop an asparagine metabolism immunity index for improving clinical outcome and drug sensitivity in lung adenocarcinoma.

Immunologic research Sep 25, 2024
Lung adenocarcinoma (LUAD) is a malignancy affecting the respiratory system. Most patients are diagnosed with advanced or metastatic lung cancer due to the fact that most of their clinical symptoms are insidious, resulting in a bleak prognosis. Given...
Antineoplastic Agents Lung Neoplasms Multiomics Gene Expression Regulation, Neoplastic Biomarkers, Tumor Male Middle Aged Drug Resistance, Neoplasm Asparagine Adenocarcinoma of Lung Humans Female Aged Machine Learning Prognosis
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Evaluating ChatGPT as a patient resource for frequently asked questions about lung cancer surgery-a pilot study.

The Journal of thoracic and cardiovascular surgery Sep 24, 2024
OBJECTIVE: Chat-based artificial intelligence programs like ChatGPT are reimagining how patients seek information. This study aims to evaluate the quality and accuracy of ChatGPT-generated answers to common patient questions about lung cancer surgery...
Generative Artificial Intelligence Patient Education as Topic Male Pilot Projects Surveys and Questionnaires Lung Neoplasms Humans Artificial Intelligence Female
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Evolution of radiology staff perspectives during artificial intelligence (AI) implementation for expedited lung cancer triage.

Clinical radiology Sep 21, 2024
AIMS: To investigate radiology staff perceptions of an AI tool for chest radiography triage, flagging findings suspicious for lung cancer to expedite same-day CT chest examination studies.
Tomography, X-Ray Computed Surveys and Questionnaires Attitude of Health Personnel Lung Neoplasms Humans Artificial Intelligence Triage Radiologists
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Radiograph accelerated detection and identification of cancer in the lung (RADICAL): a mixed methods study to assess the clinical effectiveness and acceptability of Qure.ai artificial intelligence software to prioritise chest X-ray (CXR) interpretation.

BMJ open Sep 20, 2024
INTRODUCTION: Diagnosing and treating lung cancer in early stages is essential for survival outcomes. The chest X-ray (CXR) remains the primary screening tool to identify lung cancers in the UK; however, there is a shortfall of radiologists, while de...
Humans Artificial Intelligence Software Prospective Studies Early Detection of Cancer Randomized Controlled Trials as Topic Cost-Benefit Analysis Radiography, Thoracic Retrospective Studies Tomography, X-Ray Computed Lung Neoplasms
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GC-WIR : 3D global coordinate attention wide inverted ResNet network for pulmonary nodules classification.

BMC pulmonary medicine Sep 20, 2024
PURPOSE: Currently, deep learning methods for the classification of benign and malignant lung nodules encounter challenges encompassing intricate and unstable algorithmic models, limited data adaptability, and an abundance of model parameters.To tack...
Humans Neural Networks, Computer Imaging, Three-Dimensional Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Algorithms Tomography, X-Ray Computed Deep Learning
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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...
Supervised Machine Learning Aged Middle Aged Immunotherapy Humans Adult Neoadjuvant Therapy Deep Learning Treatment Outcome Male Retrospective Studies Carcinoma, Non-Small-Cell Lung Lung Neoplasms Female
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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...
Support Vector Machine Adenocarcinoma of Lung Middle Aged Disease Progression Lung Neoplasms Humans Prognosis Tomography, X-Ray Computed Radiomics Male Female Aged
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