AIMC Topic: Nephrectomy
Clear Filters Showing 281 to 290 of 439 articles
Re: Robot-Assisted Partial Nephrectomy: Is Routine Urinary Catheterization Still Mandatory in the Era of Enhanced Recovery?
The Journal of urology
Oct 9, 2019
Re: Baojun Wang, Qingbo Huang, Kan Liu, et al. Robot-assisted Level III-IV Inferior Vena Cava Thrombectomy: Initial Series with Step-by-step Procedures and 1-yr Outcomes. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2019.04.019: Robotic-assisted Laparoscopic Radical Nephrectomy and Tumor Thrombectomy: Is It Exclusively the Approach that Matters?
European urology
Sep 20, 2019
Deep Learning-Based Histopathologic Assessment of Kidney Tissue.
Journal of the American Society of Nephrology : JASN
Sep 5, 2019
BACKGROUND: The development of deep neural networks is facilitating more advanced digital analysis of histopathologic images. We trained a convolutional neural network for multiclass segmentation of digitized kidney tissue sections stained with perio...
Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Aug 19, 2019
This paper presents a new approach for precisely estimating the renal vascular dominant region using a Voronoi diagram. To provide computer-assisted diagnostics for the pre-surgical simulation of partial nephrectomy surgery, we must obtain informatio...
Editorial Comment to Three-dimensional digital reconstruction of renal model to guide preoperative planning of robot-assisted partial nephrectomy.
International journal of urology : official journal of the Japanese Urological Association
Jul 9, 2019
Re: The Learning Curve for Robot-Assisted Partial Nephrectomy: Impact of Surgical Experience on Perioperative Outcomes.
The Journal of urology
Jul 8, 2019
A preoperative nomogram to predict major complications after robot assisted partial nephrectomy (UroCCR-57 study).
Urologic oncology
Jun 8, 2019
OBJECTIVE: To generate a nomogram based on preoperative parameters to predict the occurrence of a major complication within 30-days of robotic partial nephrectomy.
Don't Miss the Future of Medicine
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 31964
- Neural Networks, Computer 30201
- Algorithms 27375
- Deep Learning 26880
- Artificial Intelligence 24818
- Robotics 13382
- Image Processing, Computer-Assisted 9730
- Retrospective Studies 9328
- Magnetic Resonance Imaging 6341
- Reproducibility of Results 5670
- Tomography, X-Ray Computed 4863
- Support Vector Machine 4762
- Computational Biology 4328
- Brain 4125
- Computer Simulation 3932
Recent Journals
- Scientific reports 6689
- Sensors (Basel, Switzerland) 4794
- PloS one 4186
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1915
- 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 1378
- IEEE journal of biomedical and health informatics 1167
- Journal of chemical information and modeling 1059
- Nature communications 1029
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 872
- Journal of medical Internet research 853
- Briefings in bioinformatics 853