AIMC Topic: Lung Neoplasms

Clear Filters Showing 1511 to 1520 of 1658 articles

Deep Learning Based on Enhanced MRI T1 Imaging to Differentiate Small-cell and Non-small-cell Primary Lung Cancers in Patients with Brain Metastases.

Current medical imaging Jan 1, 2023
OBJECTIVES: To differentiate the primary small-cell lung cancer (SCLC) and non-small-cell lung cancer (NSCLC) for patients with brain metastases (BMs) based on a deep learning (DL) model using contrast-enhanced magnetic resonance imaging (MRI) T1 wei...
Carcinoma, Non-Small-Cell Lung Magnetic Resonance Imaging Deep Learning Humans Lung Neoplasms Retrospective Studies Brain Neoplasms
View on PubMed DOI

Research on Segmentation Technology in Lung Cancer Radiotherapy Based on Deep Learning.

Current medical imaging Jan 1, 2023
BACKGROUND: Lung cancer has the highest mortality rate among cancers. Radiation therapy (RT) is one of the most effective therapies for lung cancer. The correct segmentation of lung tumors (LTs) and organs at risk (OARs) is the cornerstone of success...
Humans Neural Networks, Computer Technology Image Processing, Computer-Assisted Lung Neoplasms Tomography, X-Ray Computed Radiotherapy Planning, Computer-Assisted Deep Learning
View on PubMed DOI

[Port-only 4-Arms Robotic Segmentectomy Under Artificial Pneumothorax].

Zhongguo fei ai za zhi = Chinese journal of lung cancer Nov 20, 2022
BACKGROUND: At present, robotic surgery is widely used in thoracic surgery, which has higher maneuverability, precision, and stability, especially for small space complex operations and reconstructive surgery. The advantages of robotic lung segment r...
Humans Lung Neoplasms Pneumonectomy Robotics Pneumothorax, Artificial Robotic Surgical Procedures
View on PubMed DOI

Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study.

The Lancet. Digital health Sep 1, 2022
BACKGROUND: Artificial intelligence (AI) and deep learning have shown great potential in streamlining clinical tasks. However, most studies remain confined to in silico validation in small internal cohorts, without external validation or data on real...
Deep Learning Lung Neoplasms Artificial Intelligence Algorithms Positron Emission Tomography Computed Tomography United States Carcinoma, Non-Small-Cell Lung Humans
View on PubMed DOI

Artificial intelligence in lung cancer: Application and future thinking.

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences Aug 28, 2022
The availability of medical big data and the rapid development of computer software and hardware have greatly promoted the advancement of intelligent medical healthcare. Artificial intelligence (AI) has been successfully applied in many fields of med...
Humans Artificial Intelligence Lung Neoplasms Prognosis
View on PubMed DOI

Deep Learning Empowers Lung Cancer Screening Based on Mobile Low-Dose Computed Tomography in Resource-Constrained Sites.

Frontiers in bioscience (Landmark edition) Jul 4, 2022
BACKGROUND: Existing challenges of lung cancer screening included non-accessibility of computed tomography (CT) scanners and inter-reader variability, especially in resource-limited areas. The combination of mobile CT and deep learning technique has ...
Multiple Pulmonary Nodules Early Detection of Cancer Deep Learning Lung Neoplasms Humans Retrospective Studies Female Male Tomography, X-Ray Computed
View on PubMed DOI

[Two Cases of Robot-Assisted Total Pelvic Exenteration and Intracorporeal Ileal Conduit for Locally Advanced Rectal Cancer].

Hinyokika kiyo. Acta urologica Japonica May 1, 2022
We describe two cases of locally advanced rectal cancer (LARC) treated with robot-assisted total pelvic exenteration (Ra-TPE) and intracorporeal ileal conduit (ICIC). The first case was in a 71-year-old man with LARC (RbP, T4bN2bM0, cStage IIIc). He ...
Aged Carcinoembryonic Antigen Male Urinary Diversion Robotics Humans Lung Neoplasms Middle Aged Pelvic Exenteration Rectal Neoplasms Adenocarcinoma
View on PubMed DOI

[Recent advances in diagnosis of pulmonary nodule].

Zhonghua wai ke za zhi [Chinese journal of surgery] May 1, 2022
With the popularization of health screening and the widespread use of low-dose computed tomography, the detection rate of lung nodules has increased year after year. However, the false positive rates testified by surgery of these lung nodules are sti...
Humans Artificial Intelligence Tomography, X-Ray Computed Bronchoscopy Lung Neoplasms Biopsy, Needle
View on PubMed DOI

[Experience of Thoracotomy and Robot-assisted Bronchial Sleeve Resection 
after Neoadjuvant Chemoimmunotherapy for Local Advanced Central Lung Cancer].

Zhongguo fei ai za zhi = Chinese journal of lung cancer Feb 20, 2022
BACKGROUND: Immunoneoadjuvant therapy opens a new prospect for local advanced lung cancer. The aim of our study was to explore the safety and feasibility of robotic-assisted bronchial sleeve resection in patients with locally advanced non-small cell ...
Humans Robotics Pneumonectomy Lung Neoplasms Neoadjuvant Therapy Treatment Outcome Thoracotomy Retrospective Studies Carcinoma, Non-Small-Cell Lung
View on PubMed DOI

Lung Cancer Detection Using Machine Learning Techniques.

Critical reviews in biomedical engineering Jan 1, 2022
Cancer has been the deadliest of diseases since decades constituting a large number of deaths annually. Lung cancer remains one of the most significant public health issues, accounting for a substantial proportion of cancer-related deaths globally. D...
Algorithms Lung Neoplasms Humans Lung Machine Learning
View on PubMed
Popular Topics
Recent Journals