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。AI in health and medicine
Pranav Rajpurkar et al.
NATURE MEDICINE (2022)
Radiomics can predict tumour response in patients treated with Nivolumab for a metastatic renal cell carcinoma: an artificial intelligence concept
Zine-Eddine Khene et al.
WORLD JOURNAL OF UROLOGY (2021)
Cancer Statistics, 2021
Rebecca L. Siegel et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2021)
The Role of Artificial Intelligence in the Diagnosis and Prognosis of Renal Cell Tumors
Matteo Giulietti et al.
DIAGNOSTICS (2021)
Transforming Global Health with AI
Mehul C. Mehta et al.
NEW ENGLAND JOURNAL OF MEDICINE (2020)
Artificial intelligence and neural networks in urology: current clinical applications
Enrico Checcucci et al.
MINERVA UROLOGICA E NEFROLOGICA (2020)
Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion
Fatemeh Zabihollahy et al.
EUROPEAN RADIOLOGY (2020)
The value of renal score in both determining surgical strategies and predicting complications for renal cell carcinoma: A systematic review and meta-analysis
Naipeng Shi et al.
CANCER MEDICINE (2020)
Machine Learning in Radiomic Renal Mass Characterization: Fundamentals, Applications, Challenges, and Future Directions
Burak Kocak et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2020)
Use of personalized 3D printed kidney models for partial nephrectomy
C. Michiels et al.
PROGRES EN UROLOGIE (2020)
Radiomics and Artificial Intelligence for Renal Mass Characterization
Meghan G. Lubner
RADIOLOGIC CLINICS OF NORTH AMERICA (2020)
Artificial Intelligence in Renal Mass Characterization: A Systematic Review of Methodologic Items Related to Modeling, Performance Evaluation, Clinical Utility, and Transparency
Burak Kocak et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2020)
European Association of Urology Guidelines on Renal Cell Carcinoma: The 2019 Update
Borje Ljungberg et al.
EUROPEAN UROLOGY (2019)
A new era: artificial intelligence and machine learning in prostate cancer
S. Larry Goldenberg et al.
NATURE REVIEWS UROLOGY (2019)
Current status of artificial intelligence applications in urology and their potential to influence clinical practice
Jian Chen et al.
BJU INTERNATIONAL (2019)
Three-dimensional virtual imaging of renal tumours: a new tool to improve the accuracy of nephrometry scores
Francesco Porpiglia et al.
BJU INTERNATIONAL (2019)
High-performance medicine: the convergence of human and artificial intelligence
Eric J. Topol
NATURE MEDICINE (2019)
Development and validation of 3D printed virtual models for robot-assisted radical prostatectomy and partial nephrectomy: urologists' and patients' perception
Francesco Porpiglia et al.
WORLD JOURNAL OF UROLOGY (2018)
Functional and oncological outcomes of open laparoscopic and robot-assisted partial nephrectomy: a multicentre comparative matched-pair analyses with a median of 5 years' follow-up
Ki Don Chang et al.
BJU INTERNATIONAL (2018)
French ccAFU guidelines - Update 2018-2020: Management of kidney cancer
K. Bensalah et al.
PROGRES EN UROLOGIE (2018)
Current Use of Three-dimensional Model Technology in Urology: A Road Map for Personalised Surgical Planning
Francesco Porpiglia et al.
EUROPEAN UROLOGY FOCUS (2018)
Systematic Review and Meta-Analysis of Comparative Studies Reporting Perioperative Outcomes of Robot-Assisted Partial Nephrectomy Versus Open Partial Nephrectomy
Leilei Xia et al.
JOURNAL OF ENDOUROLOGY (2017)
A Literature Review of Renal Surgical Anatomy and Surgical Strategies for Partial Nephrectomy
Tobias Klatte et al.
EUROPEAN UROLOGY (2015)
Renal Tumor Contact Surface Area: A Novel Parameter for Predicting Complexity and Outcomes of Partial Nephrectomy
Scott Leslie et al.
EUROPEAN UROLOGY (2014)
Nephrometry Score is Associated with Volume Loss and Functional Recovery After Partial Nephrectomy
Matthew N. Simmons et al.
JOURNAL OF UROLOGY (2012)
Association of Tumor Size, Location, RENAL, PADUA and Centrality Index Score with Perioperative Outcomes and Postoperative Renal Function
Jason R. Bylund et al.
JOURNAL OF UROLOGY (2012)
Contemporary Imaging of the Renal Mass
Stella K. Kang et al.
UROLOGIC CLINICS OF NORTH AMERICA (2012)
Morphometric characterization of kidney tumors
Matthew N. Simmons
CURRENT OPINION IN UROLOGY (2011)
The Comparison of Three Renal Tumor Scoring Systems: C-Index, PADUA, and RENAL Nephrometry Scores
Zhamshid Okhunov et al.
JOURNAL OF ENDOUROLOGY (2011)
Developments in Kidney Tumor Nephrometry
Gregory Lieser et al.
POSTGRADUATE MEDICINE (2011)
Utility of the R.E.N.A.L. Nephrometry Scoring System in Objectifying Treatment Decision-making of the Enhancing Renal Mass
Daniel Canter et al.
UROLOGY (2011)
Kidney Tumor Location Measurement Using the C Index Method
Matthew N. Simmons et al.
JOURNAL OF UROLOGY (2010)
Small Renal Mass
Inderbir S. Gill et al.
NEW ENGLAND JOURNAL OF MEDICINE (2010)
External validation of the preoperative anatomical classification for prediction of complications related to nephron-sparing surgery
Matthias Waldert et al.
WORLD JOURNAL OF UROLOGY (2010)
Preoperative Aspects and Dimensions Used for an Anatomical (PADUA) Classification of Renal Tumours in Patients who are Candidates for Nephron-Sparing Surgery
Vincenzo Ficarra et al.
EUROPEAN UROLOGY (2009)
The RENAL Nephrometry Score: A Comprehensive Standardized System for Quantitating Renal Tumor Size, Location and Depth
Alexander Kutikov et al.
JOURNAL OF UROLOGY (2009)