AIMC Topic: Thoracic Wall
Clear Filters Showing 1 to 10 of 12 articles
Extensive clinical testing of Deep Learning Segmentation models for thorax and breast cancer radiotherapy planning.
Acta oncologica (Stockholm, Sweden)
Nov 7, 2023
BACKGROUND: The performance of deep learning segmentation (DLS) models for automatic organ extraction from CT images in the thorax and breast regions was investigated. Furthermore, the readiness and feasibility of integrating DLS into clinical practi...
Stapler port position determination using 3-dimensional virtual simulation software in robot-assisted thoracic surgery.
BMC surgery
Jul 21, 2023
BACKGROUND: In robot-assisted thoracic surgery (RATS) lobectomy using a robotic stapler, stapling is difficult when the stapler port place is close to the resection target vessel. We examined whether three-dimensional computed tomography (3D-CT) soft...
Hybrid robotic lobectomy with thoracic wall resection for superior sulcus tumor.
General thoracic and cardiovascular surgery
Jun 6, 2022
A major challenge in treating superior sulcus tumors is achieving complete surgical resection because of technical difficulties associated with the anatomical structures and approaches to the thorax. Our technique combines posterior minimally invasiv...
Incidentalomas in chest CT.
The British journal of radiology
May 5, 2022
Advances in imaging technology have dramatically increased the resolution of CT and improved detection of disease; these advances also have led to an increase in incidentalomas or incidental findings that often do not represent significant disease. I...
Computer-aided diagnosis of pectus excavatum using CT images and deep learning methods.
Scientific reports
Nov 20, 2020
Pectus excavatum (PE) is one of the most common chest wall defects. Accurate assessment of PE deformities is critical for effective surgical intervention. Index-based evaluations have become the standard for objectively estimating PE, however, these ...
Knowledge-based and deep learning-based automated chest wall segmentation in magnetic resonance images of extremely dense breasts.
Medical physics
Aug 10, 2019
PURPOSE: Segmentation of the chest wall, is an important component of methods for automated analysis of breast magnetic resonance imaging (MRI). Methods reported to date show promising results but have difficulties delineating the muscle border corre...
Exploratory analysis using machine learning to predict for chest wall pain in patients with stage I non-small-cell lung cancer treated with stereotactic body radiation therapy.
Journal of applied clinical medical physics
Jul 10, 2018
BACKGROUND AND PURPOSE: Chest wall toxicity is observed after stereotactic body radiation therapy (SBRT) for peripherally located lung tumors. We utilize machine learning algorithms to identify toxicity predictors to develop dose-volume constraints.
Chest wall dose reduction using noncoplanar volumetric modulated arc radiation therapy for lung stereotactic ablative radiation therapy.
Practical radiation oncology
Dec 19, 2017
PURPOSE: Stereotactic ablative radiation therapy (SABR) to lung tumors close to the chest wall can cause rib fractures or chest wall pain. We evaluated and propose a clinically practical solution of using noncoplanar volumetric modulated arc radiatio...
A novel technique for robot assisted latissimus dorsi flap harvest.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Apr 2, 2015
BACKGROUND: A robotic surgery technique of harvesting the latissimus dorsi muscle flap has technical advantages over endoscopic harvest and cosmetic advantages over the open technique. The authors introduce a new transaxillary gasless technique using...
[Robot-assisted Thoracic Surgery for Mediastinal and Chest Wall Tumors:Atypical Surgical Approaches by the Tumor Localization].
Kyobu geka. The Japanese journal of thoracic surgery
Jul 1, 2023
Surgery for mediastinal and chest wall tumors requires various approaches, including open and thoracoscopic, depending on the size and localization of the tumor. While robotic surgery for anterior mediastinal tumors has become a standardized approach...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823