AIMC Topic:
Prostatic Neoplasms
Clear Filters Showing 1251 to 1260 of 1323 articles
Machine Learning Approaches for Extracting Stage from Pathology Reports in Prostate Cancer.
Studies in health technology and informatics
Aug 21, 2019
Clinical and pathological stage are defining parameters in oncology, which direct a patient's treatment options and prognosis. Pathology reports contain a wealth of staging information that is not stored in structured form in most electronic health r...
Hybrid Unified Deep Learning Network for Highly Precise Gleason Grading of Prostate Cancer.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Prostate cancer is one of the leading causes of death around the world. The manual Gleason grading of prostate cancer after histological analysis of stained tissue slides is rigorous, time-consuming and also suffers from subjectivity among experts. I...
Automating the Capture of Structured Pathology Data for Prostate Cancer Clinical Care and Research.
JCO clinical cancer informatics
Jul 1, 2019
PURPOSE: Cancer pathology findings are critical for many aspects of care but are often locked away as unstructured free text. Our objective was to develop a natural language processing (NLP) system to extract prostate pathology details from postopera...
A new era: artificial intelligence and machine learning in prostate cancer.
Nature reviews. Urology
Jul 1, 2019
Artificial intelligence (AI) - the ability of a machine to perform cognitive tasks to achieve a particular goal based on provided data - is revolutionizing and reshaping our health-care systems. The current availability of ever-increasing computation...
Deep transfer learning-based prostate cancer classification using 3 Tesla multi-parametric MRI.
Abdominal radiology (New York)
Jun 1, 2019
PURPOSE: The purpose of the study was to propose a deep transfer learning (DTL)-based model to distinguish indolent from clinically significant prostate cancer (PCa) lesions and to compare the DTL-based model with a deep learning (DL) model without t...
Artificial intelligence at the intersection of pathology and radiology in prostate cancer.
Diagnostic and interventional radiology (Ankara, Turkey)
May 1, 2019
Pathologic grading plays a key role in prostate cancer risk stratification and treatment selection, traditionally assessed from systemic core needle biopsies sampled throughout the prostate gland. Multiparametric magnetic resonance imaging (mpMRI) ha...
Salvage robot-assisted radical prostatectomy following failed local treatments.
Archivos espanoles de urologia
Apr 1, 2019
Prostate cancer represents the most commonly diagnosed cancer in men and is the second-leading cause of cancer related death in the United States. Primary treatment for prostate cancer includes radiotherapy or ablative procedures such as cryotherapy,...
Complications of robot assisted radical prostatectomy.
Archivos espanoles de urologia
Apr 1, 2019
The urology community has adopted robot-assisted radical prostatectomy (RARP) as the most preferred surgical therapeutic approach in the management of localized prostate cancer. Safety and potential complications of RARP should be clearly known prior...
Robot-assisted extended pelvic lymph node dissection in prostate cancer. When and how?
Archivos espanoles de urologia
Apr 1, 2019
OBJECTIVE: To review the literature evaluating the role of the extended pelvic lymph node dissectione PLND during robot assisted radical prostatectomy (RARP) in the management of PCa patients, as well as the preoperative clinic pathologic factors tha...
Technical features and the demonstrated advantages of the Retzius sparing robotic prostatectomy.
Archivos espanoles de urologia
Apr 1, 2019
OBJECTIVE: Robot-assisted laparoscopic radical prostatectomy (RARP) is nowadays considered the main surgical option for localized prostate cancer (PCa). We recently developed a new approach for RARP avoiding all the Retzius structures involved in ...
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 30108
- Neural Networks, Computer 29270
- Algorithms 26255
- Deep Learning 25773
- Artificial Intelligence 23797
- Robotics 13262
- Image Processing, Computer-Assisted 9270
- Retrospective Studies 8829
- Magnetic Resonance Imaging 5972
- Reproducibility of Results 5496
- Tomography, X-Ray Computed 4619
- Support Vector Machine 4604
- Computational Biology 4124
- Brain 3916
- Computer Simulation 3823
Recent Journals
- Scientific reports 5092
- Sensors (Basel, Switzerland) 4729
- PloS one 3860
- Neural networks : the official journal of the International Neural Network Society 2842
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1779
- 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 1224
- IEEE journal of biomedical and health informatics 1081
- Journal of chemical information and modeling 934
- Nature communications 854
- Briefings in bioinformatics 849
- Bioinformatics (Oxford, England) 847
- Computer methods and programs in biomedicine 844
- IEEE transactions on neural networks and learning systems 780