AIMC Topic: Lung Neoplasms

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Non-invasive multimodal CT deep learning biomarker to predict pathological complete response of non-small cell lung cancer following neoadjuvant immunochemotherapy: a multicenter study.

Journal for immunotherapy of cancer Sep 3, 2024
OBJECTIVES: Although neoadjuvant immunochemotherapy has been widely applied in non-small cell lung cancer (NSCLC), predicting treatment response remains a challenge. We used pretreatment multimodal CT to explore deep learning-based immunochemotherapy...
Immunotherapy Neoadjuvant Therapy Carcinoma, Non-Small-Cell Lung Multimodal Imaging Tomography, X-Ray Computed Humans Middle Aged Female Deep Learning Retrospective Studies Aged Lung Neoplasms Male
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Exploiting histopathological imaging for early detection of lung and colon cancer via ensemble deep learning model.

Scientific reports Sep 3, 2024
Cancer seems to have a vast number of deaths due to its heterogeneity, aggressiveness, and significant propensity for metastasis. The predominant categories of cancer that may affect males and females and occur worldwide are colon and lung cancer. A ...
Deep Learning Lung Neoplasms Early Detection of Cancer Colonic Neoplasms Humans Neural Networks, Computer Female Male
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Extracting lung cancer staging descriptors from pathology reports: A generative language model approach.

Journal of biomedical informatics Sep 2, 2024
BACKGROUND: In oncology, electronic health records contain textual key information for the diagnosis, staging, and treatment planning of patients with cancer. However, text data processing requires a lot of time and effort, which limits the utilizati...
Feasibility Studies Data Mining Deep Learning Lung Neoplasms Natural Language Processing Neoplasm Staging
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Integrated machine learning survival framework to decipher diverse cell death patterns for predicting prognosis in lung adenocarcinoma.

Genes and immunity Aug 31, 2024
Various forms of programmed cell death (PCD) collectively regulate the occurrence, development and metastasis of tumors. Nevertheless, a comprehensive analysis of the diverse types of PCD in lung adenocarcinoma (LUAD) is currently lacking. The study ...
Machine Learning Prognosis Female Lung Neoplasms Humans Cell Death Adenocarcinoma of Lung Male
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Deciphering Dormant Cells of Lung Adenocarcinoma: Prognostic Insights from O-glycosylation-Related Tumor Dormancy Genes Using Machine Learning.

International journal of molecular sciences Aug 31, 2024
Lung adenocarcinoma (LUAD) poses significant challenges due to its complex biological characteristics and high recurrence rate. The high recurrence rate of LUAD is closely associated with cellular dormancy, which enhances resistance to chemotherapy a...
Tumor Microenvironment Gene Expression Regulation, Neoplastic Humans Biomarkers, Tumor Glycosylation Gene Regulatory Networks Machine Learning Adenocarcinoma of Lung Lung Neoplasms Prognosis
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Application of artificial intelligence in lung cancer screening: A real-world study in a Chinese physical examination population.

Thoracic cancer Aug 29, 2024
BACKGROUND: With the rapid increase of chest computed tomography (CT) images, the workload faced by radiologists has increased dramatically. It is undeniable that the use of artificial intelligence (AI) image-assisted diagnosis system in clinical tre...
Lung Neoplasms Early Detection of Cancer East Asian People Physical Examination Male Middle Aged China Humans Artificial Intelligence Tomography, X-Ray Computed Female Aged Adult
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Artificial Intelligence Recognition Model Using Liquid-Based Cytology Images to Discriminate Malignancy and Histological Types of Non-Small-Cell Lung Cancer.

Pathobiology : journal of immunopathology, molecular and cellular biology Aug 28, 2024
INTRODUCTION: Artificial intelligence image recognition has applications in clinical practice. The purpose of this study was to develop an automated image classification model for lung cancer cytology using a deep learning convolutional neural networ...
Sensitivity and Specificity Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Humans Neural Networks, Computer Artificial Intelligence Carcinoma, Squamous Cell Adenocarcinoma Carcinoma, Non-Small-Cell Lung Cytodiagnosis
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Machine Learning Based on Clinical Information and Integrated CT Radiomics to Predict Local Recurrence of Stage Ia Lung Adenocarcinoma after Microwave Ablation.

Journal of vascular and interventional radiology : JVIR Aug 28, 2024
PURPOSE: To develop and compare 3 different machine learning-based models of clinical information and integrated radiomics features predicting the local recurrence of Stage Ia lung adenocarcinoma after microwave ablation (MWA) for assisting clinical ...
Tomography, X-Ray Computed Clinical Decision-Making Female Neoplasm Recurrence, Local Humans Aged Risk Factors Risk Assessment Treatment Outcome Microwaves Ablation Techniques Machine Learning Radiomics Time Factors Margins of Excision Predictive Value of Tests Decision Support Techniques Male Lung Neoplasms Adenocarcinoma of Lung Retrospective Studies Neoplasm Staging Middle Aged Radiographic Image Interpretation, Computer-Assisted
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2.5D deep learning based on multi-parameter MRI to differentiate primary lung cancer pathological subtypes in patients with brain metastases.

European journal of radiology Aug 28, 2024
BACKGROUND: Brain metastases (BMs) represents a severe neurological complication stemming from cancers originating from various sources. It is a highly challenging clinical task to accurately distinguish the pathological subtypes of brain metastatic ...
Male Middle Aged Humans Deep Learning Retrospective Studies Adult Magnetic Resonance Imaging Lung Neoplasms Female Sensitivity and Specificity Aged Diagnosis, Differential Brain Neoplasms Image Interpretation, Computer-Assisted
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Survival analysis for lung cancer patients: A comparison of Cox regression and machine learning models.

International journal of medical informatics Aug 26, 2024
INTRODUCTION: Survival analysis based on cancer registry data is of paramount importance for monitoring the effectiveness of health care. As new methods arise, the compendium of statistical tools applicable to cancer registry data grows. In recent ye...
Proportional Hazards Models Humans Neural Networks, Computer Machine Learning Middle Aged Female Lung Neoplasms Aged Registries Male Survival Analysis
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