AIMC Topic: Lung Neoplasms

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Natural Language Processing for the Identification of Incidental Lung Nodules in Computed Tomography Reports: A Quality Control Tool.

JCO global oncology Sep 1, 2023
PURPOSE: To evaluate the diagnostic performance of a natural language processing (NLP) model in detecting incidental lung nodules (ILNs) in unstructured chest computed tomography (CT) reports.
Female Aged Retrospective Studies Tomography, X-Ray Computed Lung Lung Neoplasms Natural Language Processing Aged, 80 and over Middle Aged Humans
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Deep learning with test-time augmentation for radial endobronchial ultrasound image differentiation: a multicentre verification study.

BMJ open respiratory research Aug 1, 2023
PURPOSE: Despite the importance of radial endobronchial ultrasound (rEBUS) in transbronchial biopsy, researchers have yet to apply artificial intelligence to the analysis of rEBUS images.
Deep Learning Lung Neoplasms Humans Artificial Intelligence Neural Networks, Computer Retrospective Studies
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Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules.

Radiology Aug 1, 2023
Background Prior chest CT provides valuable temporal information (eg, changes in nodule size or appearance) to accurately estimate malignancy risk. Purpose To develop a deep learning (DL) algorithm that uses a current and prior low-dose CT examinatio...
Early Detection of Cancer Canada Multiple Pulmonary Nodules Tomography, X-Ray Computed Male Deep Learning Lung Neoplasms Middle Aged Humans Retrospective Studies
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If Only We Had a Time Machine: Prior CT in Deep Learning for Lung Nodule Prognostication.

Radiology Aug 1, 2023
Humans Lung Deep Learning Lung Neoplasms Neural Networks, Computer Tomography, X-Ray Computed Solitary Pulmonary Nodule
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Uniportal Robotic Lung Resection Techniques.

Thoracic surgery clinics Aug 1, 2023
Uniportal video-assisted thoracic surgical (U-VATS) and telerobotic techniques have become widely adopted strategies for lung resection and represent a natural progression born of advancing technologic innovation and decades of expanding clinical exp...
Robotics Robotic Surgical Procedures Thoracic Surgery, Video-Assisted Pneumonectomy Humans Lung Lung Neoplasms
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[Application Value of Artificial Intelligence-assisted Three-dimensional Reconstruction in Planning Thoracoscopic Segmentectomy].

Zhongguo fei ai za zhi = Chinese journal of lung cancer Jul 20, 2023
BACKGROUND: The three-dimensional (3D) can assist in planning lung segmentectomy. 3D reconstruction software based on artificial intelligence algorithm is gradually applied in clinic. The aim of this study was to evaluate the accuracy and safety of 3...
Imaging, Three-Dimensional Lung Neoplasms Pneumonectomy Artificial Intelligence Software Humans
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Multi-class Tissue Segmentation of CT images using an Ensemble Deep Learning method.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Microwave ablation (MWA) therapy is a well-known technique for locally destroying lung tumors with the help of computed tomography (CT) images. However, tumor recurrence occurs because of insufficient ablation of the tumor. In order to perform an acc...
Neoplasm Recurrence, Local Deep Learning Image Processing, Computer-Assisted Humans Lung Neoplasms Tomography, X-Ray Computed
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[Robot-assisted Thoracic Surgery for Mediastinal Tumor].

Kyobu geka. The Japanese journal of thoracic surgery Jul 1, 2023
In Japan, robot-assisted thoracic surgery (RATS) was introduced in thoracic surgery in 2001, but it did not become widespread. However, surgery for mediastinal tumors and lobectomy for lung cancer with RATS were covered by insurance in 2018 and are c...
Humans Retrospective Studies Mediastinal Neoplasms Thoracic Surgery, Video-Assisted Lung Neoplasms Robotics Thoracic Surgery
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Predicting Future Lung Cancer Risk from a Single Low-Dose CT Using Deep Learning.

Radiology. Imaging cancer May 1, 2023
Deep Learning Lung Neoplasms Tomography, X-Ray Computed Lung Humans
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Single-cell gene regulatory network prediction by explainable AI.

Nucleic acids research Feb 28, 2023
The molecular heterogeneity of cancer cells contributes to the often partial response to targeted therapies and relapse of disease due to the escape of resistant cell populations. While single-cell sequencing has started to improve our understanding ...
Single-Cell Gene Expression Analysis Lung Neoplasms Gene Expression Regulation Humans Neoplasms Deep Learning Gene Regulatory Networks
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