The Ascent of Artificial Intelligence in Endourology: a Systematic Review Over the Last 2 Decades
出版年份 2021 全文链接
标题
The Ascent of Artificial Intelligence in Endourology: a Systematic Review Over the Last 2 Decades
作者
关键词
-
出版物
Current Urology Reports
Volume 22, Issue 10, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-10-10
DOI
10.1007/s11934-021-01069-3
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Deep learning computer vision algorithm for detecting kidney stone composition
- (2020) Kristian M. Black et al. BJU INTERNATIONAL
- Towards data-driven medical imaging using natural language processing in patients with suspected urolithiasis
- (2020) Florian Jungmann et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- A meta-ethnography to understand the experience of living with urinary incontinence: ‘is it just part and parcel of life?’
- (2020) Francine Toye et al. BMC Urology
- Inhibitors of Calcium Oxalate Crystallization for the Treatment of Oxalate Nephropathies
- (2020) Anna Kletzmayr et al. Advanced Science
- MP43-14 WISCONSIN QUALITY OF LIFE MACHINE LEARNING ALGORITHM FOR PREDICTING QUALITY OF LIFE IN KIDNEY STONE PATIENTS
- (2020) Jack W. Luo* et al. JOURNAL OF UROLOGY
- PD14-03 DEVELOPMENT OF PREDICTION MODELS OF SPONTANEOUS URETERAL STONE PASSAGE THROUGH MACHINE LEARNING
- (2020) Joon Kim* et al. JOURNAL OF UROLOGY
- Task-based characterization of a deep learning image reconstruction and comparison with filtered back-projection and a partial model-based iterative reconstruction in abdominal CT: A phantom study
- (2020) Damien Racine et al. Physica Medica-European Journal of Medical Physics
- Comparison of efficacy and safety of minimally invasive procedures for 10–20 mm pediatric renal Stones—A bayesian network meta-analysis
- (2020) Fang-Zhou Zhao et al. Journal of Pediatric Urology
- Natural language processing to identify ureteric stones in radiology reports
- (2019) Andrew Yu Li et al. Journal of Medical Imaging and Radiation Oncology
- Ureteral Catheter vs. Nephrostomy Tube For Patients Undergoing PNL under Spinal Anesthesia: A Prospectively Randomized Trial
- (2019) Murat Gonen et al. JOURNAL OF ENDOUROLOGY
- Differentiating kidney stones from phleboliths in unenhanced low-dose computed tomography using radiomics and machine learning
- (2019) Thomas De Perrot et al. EUROPEAN RADIOLOGY
- PD26-02 FLUOROSCOPIC TARGETING OF RENAL CALCULI DURING EXTRACORPOREAL SHOCKWAVE LITHOTRIPSY USING A MACHINE LEARNING ALGORITHM
- (2019) Rohit Singla et al. JOURNAL OF UROLOGY
- MP33-17 USING A CLINICAL REGISTRY AND MACHINE LEARNING TO PREDICT URETERAL STENT PLACEMENT FOLLOWING URETEROSCOPY
- (2019) Michael Inadomi* et al. JOURNAL OF UROLOGY
- PD48-07 COMPUTER-AIDED DIAGNOSIS WITH A CONVOLUTIONAL NEURAL NETWORK ALGORITHM FOR AUTOMATED DETECTION OF URINARY TRACT STONES USING KUB
- (2019) Junichiro Ishioka* et al. JOURNAL OF UROLOGY
- An artificial intelligence-based clinical decision support system for large kidney stone treatment
- (2019) Tayyebe Shabaniyan et al. AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE
- Detection of Renal Calculi in Ultrasound Image Using Meta-Heuristic Support Vector Machine
- (2019) S. Selvarani et al. JOURNAL OF MEDICAL SYSTEMS
- Performance of a Natural Language Processing Method to Extract Stone Composition From the Electronic Health Record
- (2019) Cosmin A. Bejan et al. UROLOGY
- Microwave dielectric property based classification of renal calculi: Application of a kNN algorithm
- (2019) Banu Saçlı et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Dose independent characterization of renal stones by means of dual energy computed tomography and machine learning: an ex-vivo study
- (2019) Nils Große Hokamp et al. EUROPEAN RADIOLOGY
- Robot-Assisted Fluoroscopy Versus Ultrasound-Guided Renal Access for Nephrolithotomy: A Phantom Model Benchtop Study
- (2019) Kazumi Taguchi et al. JOURNAL OF ENDOUROLOGY
- A neural network-based algorithm for predicting the spontaneous passage of ureteral stones
- (2019) Mehmet Solakhan et al. Urolithiasis
- Predicting the Postoperative Outcome of Percutaneous Nephrolithotomy with Machine Learning System: Software Validation and Comparative Analysis with Guy's Stone Score and the CROES Nomogram
- (2019) Alireza Aminsharifi et al. JOURNAL OF ENDOUROLOGY
- Kidney disease detection and segmentation using artificial neural network and multi-kernel k-means clustering for ultrasound images
- (2019) A. Nithya et al. MEASUREMENT
- A novel method for predicting kidney stone type using ensemble learning
- (2018) Yassaman Kazemi et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Uric acid versus non-uric acid urinary stones: differentiation with single energy CT texture analysis
- (2018) G.-M.-Y. Zhang et al. CLINICAL RADIOLOGY
- Computer aided detection of ureteral stones in thin slice computed tomography volumes using Convolutional Neural Networks
- (2018) Martin Längkvist et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Big Data and Machine Learning in Health Care
- (2018) Andrew L. Beam et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Three-Dimensional Texture Analysis with Machine Learning Provides Incremental Predictive Information for Successful Shock Wave Lithotripsy in Patients with Kidney Stones
- (2018) Manoj Mannil et al. JOURNAL OF UROLOGY
- A Prediction Model using Machine Learning Algorithm for Assessing Stone-Free Status after Single-Session Shockwave Lithotripsy to Treat Ureteral Stones
- (2018) Min Soo Choo et al. JOURNAL OF UROLOGY
- Development of a personalized diagnostic model for kidney stone disease tailored to acute care by integrating large clinical, demographics and laboratory data: the diagnostic acute care algorithm - kidney stones (DACA-KS)
- (2018) Zhaoyi Chen et al. BMC Medical Informatics and Decision Making
- Analysis and classification of kidney stones based on Raman spectroscopy
- (2018) Xiaoyu Cui et al. Biomedical Optics Express
- Artificial Neural Network System to Predict the Postoperative Outcome of Percutaneous Nephrolithotomy
- (2017) Alireza Aminsharifi et al. JOURNAL OF ENDOUROLOGY
- Development of a novel magnetic resonance imaging acquisition and analysis workflow for the quantification of shock wave lithotripsy-induced renal hemorrhagic injury
- (2017) Rajash K. Handa et al. Urolithiasis
- Ex Vivo Renal Stone Characterization with Single-Source Dual-Energy Computed Tomography: A Multiparametric Approach
- (2016) J. Scott Kriegshauser et al. ACADEMIC RADIOLOGY
- Computer Aided Abnormality Detection for Kidney on FPGA Based IoT Enabled Portable Ultrasound Imaging System
- (2016) K. Divya Krishna et al. IRBM
- A Complete World Literature Review of Quality of Life (QOL) in Patients with Kidney Stone Disease (KSD)
- (2016) Francesca New et al. Current Urology Reports
- Nonlinear logistic regression model for outcomes after endourologic procedures: a novel predictor
- (2014) Adam O. Kadlec et al. Urolithiasis
- The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration
- (2013) Alessandro Liberati ANNALS OF INTERNAL MEDICINE
- PRISMA Statement
- (2010) David Moher et al. EPIDEMIOLOGY
- NEURAL NETWORK TO PREDICT STONE FREE STATUS AFTER SWL, PCNL OR URETEROSCOPY
- (2009) Patrick W. Alger et al. JOURNAL OF UROLOGY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now