Artificial Intelligence Applications in Urology Reporting Standards to Achieve Fluency for Urologists

被引：8
作者：
Chen, Andrew B. [1 ]
Haque, Taseen [2 ]
Roberts, Sidney [2 ]
Rambhatla, Sirisha [3 ]
Cacciamani, Giovanni [1 ]
Dasgupta, Prokar [4 ]
Hung, Andrew J. [1 ]
机构：
[1] USC Inst Urol, 1441 Eastlake Ave,Suite 7416, Los Angeles, CA 90089 USA
[2] USC, Keck Sch Med, 1441 Eastlake Ave,Suite 7416, Los Angeles, CA 90089 USA
[3] USC, Viterbi Sch Engn, 1441 Eastlake Ave,Suite 7416, Los Angeles, CA 90089 USA
[4] Kings Coll London, Kings Hlth Partners, 145 Harley St, London W1G 6BG, England
来源：
UROLOGIC CLINICS OF NORTH AMERICA | 2022年 / 49卷 / 01期
关键词：
Machine learning; Artificial intelligence; Urology; Deep learning; Review; SURGICAL SKILL;
D O I：
10.1016/j.ucl.2021.07.009
中图分类号：
R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];
学科分类号：
1002 ; 100201 ;
摘要：
[No abstract available]
引用
收藏
页码：65 / 117
页数：53
相关论文
共 47 条
[1]  
Aminsharifi A, 2020, J ENDOUROL, V34, P692, DOI 10.1089/end.2019.0475
[2]   Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal lymph node dissection [J].
Baessler, Bettina ;
Nestler, Tim ;
dos Santos, Daniel ;
Paffenholz, Pia ;
Zeuch, Vikram ;
Pfister, David ;
Maintz, David ;
Heidenreich, Axel .
EUROPEAN RADIOLOGY, 2020, 30 (04) :2334-2345
[3]   Targeted Workup after Initial Febrile Urinary Tract Infection: Using a Novel Machine Learning Model to Identify Children Most Likely to Benefit from Voiding Cystourethrogram [J].
Bertsimas, Dimitris ;
Dunn, Jack ;
Li, Michael ;
Zhuo, Daisy ;
Estrada, Carlos ;
Nelson, Caleb ;
Wang, Hsin-Hsiao Scott .
JOURNAL OF UROLOGY, 2019, 202 (01) :144-152
[4]   Predicting intra-operative and postoperative consequential events using machine-learning techniques in patients undergoing robot-assisted partial nephrectomy: a Vattikuti Collective Quality Initiative database study [J].
Bhandari, Mahendra ;
Nallabasannagari, Anubhav Reddy ;
Reddiboina, Madhu ;
Porter, James R. ;
Jeong, Wooju ;
Mottrie, Alexandre ;
Dasgupta, Prokar ;
Challacombe, Ben ;
Abaza, Ronney ;
Rha, Koon Ho ;
Parekh, Dipen J. ;
Ahlawat, Rajesh ;
Capitanio, Umberto ;
Yuvaraja, Thyavihally B. ;
Rawal, Sudhir ;
Moon, Daniel A. ;
Buffi, Nicolo M. ;
Sivaraman, Ananthakrishnan ;
Maes, Kris K. ;
Porpiglia, Francesco ;
Gautam, Gagan ;
Turkeri, Levent ;
Meyyazhgan, Kohul Raj ;
Patil, Preethi ;
Menon, Mani ;
Rogers, Craig .
BJU INTERNATIONAL, 2020, 126 (03) :350-358
[5]   Surgical Skill and Complication Rates after Bariatric Surgery [J].
Birkmeyer, John D. ;
Finks, Jonathan F. ;
O'Reilly, Amanda ;
Oerline, Mary ;
Carlin, Arthur M. ;
Nunn, Andre R. ;
Dimick, Justin ;
Banerjee, Mousumi ;
Birkmeyer, Nancy J. O. .
NEW ENGLAND JOURNAL OF MEDICINE, 2013, 369 (15) :1434-1442
[6]   Artificial Intelligence in Medicine: Today and Tomorrow [J].
Briganti, Giovanni ;
Le Moine, Olivier .
FRONTIERS IN MEDICINE, 2020, 7
[7]   Current status of artificial intelligence applications in urology and their potential to influence clinical practice [J].
Chen, Jian ;
Remulla, Daphne ;
Nguyen, Jessica H. ;
Aastha, D. ;
Liu, Yan ;
Dasgupta, Prokar ;
Hung, Andrew J. .
BJU INTERNATIONAL, 2019, 124 (04) :567-577
[8]   A Prediction Model Using Machine Learning Algorithm for Assessing Stone-Free Status after Single Session Shock Wave Lithotripsy to Treat Ureteral Stones [J].
Choo, Min Soo ;
Uhmn, Saangyong ;
Kim, Jong Keun ;
Han, Jun Hyun ;
Kim, Dong-Hoi ;
Kim, Jin ;
Lee, Seong Ho .
JOURNAL OF UROLOGY, 2018, 200 (06) :1371-1376
[9]  
Cleophas T.J. M., 2015, Machine Learning in Medicine-a Complete Overview
[10]   Development of a multivariable risk model integrating urinary cell DNA methylation and cell-free RNA data for the detection of significant prostate cancer [J].
Connell, Shea P. ;
O'Reilly, Eve ;
Tuzova, Alexandra ;
Webb, Martyn ;
Hurst, Rachel ;
Mills, Robert ;
Zhao, Fang ;
Bapat, Bharati ;
Cooper, Colin S. ;
Perry, Antoinette S. ;
Clark, Jeremy ;
Brewer, Daniel S. .
PROSTATE, 2020, 80 (07) :547-558
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