Literature DB >> 29926095

Automated Performance Metrics and Machine Learning Algorithms to Measure Surgeon Performance and Anticipate Clinical Outcomes in Robotic Surgery.

Andrew J Hung1, Jian Chen1, Inderbir S Gill1.   

Abstract

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Year:  2018        PMID: 29926095      PMCID: PMC9084629          DOI: 10.1001/jamasurg.2018.1512

Source DB:  PubMed          Journal:  JAMA Surg        ISSN: 2168-6254            Impact factor:   14.766


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  7 in total

1.  Crowdsourcing to Assess Surgical Skill.

Authors:  Thomas S Lendvay; Lee White; Timothy Kowalewski
Journal:  JAMA Surg       Date:  2015-11       Impact factor: 14.766

2.  Surgical skill and complication rates after bariatric surgery.

Authors:  John D Birkmeyer; Jonathan F Finks; Amanda O'Reilly; Mary Oerline; Arthur M Carlin; Andre R Nunn; Justin Dimick; Mousumi Banerjee; Nancy J O Birkmeyer
Journal:  N Engl J Med       Date:  2013-10-10       Impact factor: 91.245

Review 3.  Incorporating Metrics of Surgical Proficiency Into Credentialing and Privileging Pathways.

Authors:  Vernissia Tam; Herbert J Zeh; Melissa E Hogg
Journal:  JAMA Surg       Date:  2017-05-01       Impact factor: 14.766

4.  Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

Authors:  Varun Gulshan; Lily Peng; Marc Coram; Martin C Stumpe; Derek Wu; Arunachalam Narayanaswamy; Subhashini Venugopalan; Kasumi Widner; Tom Madams; Jorge Cuadros; Ramasamy Kim; Rajiv Raman; Philip C Nelson; Jessica L Mega; Dale R Webster
Journal:  JAMA       Date:  2016-12-13       Impact factor: 56.272

5.  Development and Validation of Objective Performance Metrics for Robot-Assisted Radical Prostatectomy: A Pilot Study.

Authors:  Andrew J Hung; Jian Chen; Anthony Jarc; David Hatcher; Hooman Djaladat; Inderbir S Gill
Journal:  J Urol       Date:  2017-07-29       Impact factor: 7.450

6.  Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes.

Authors:  Andrew J Hung; Jian Chen; Zhengping Che; Tanachat Nilanon; Anthony Jarc; Micha Titus; Paul J Oh; Inderbir S Gill; Yan Liu
Journal:  J Endourol       Date:  2018-03-20       Impact factor: 2.942

7.  Objective measures for longitudinal assessment of robotic surgery training.

Authors:  Rajesh Kumar; Amod Jog; Balazs Vagvolgyi; Hiep Nguyen; Gregory Hager; Chi Chiung Grace Chen; David Yuh
Journal:  J Thorac Cardiovasc Surg       Date:  2011-12-14       Impact factor: 5.209

  7 in total
  19 in total

1.  Motion analysis of the JHU-ISI Gesture and Skill Assessment Working Set II: learning curve analysis.

Authors:  Alan Kawarai Lefor; Kanako Harada; Aristotelis Dosis; Mamoru Mitsuishi
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-03-15       Impact factor: 2.924

Review 2.  Artificial intelligence and robotics: a combination that is changing the operating room.

Authors:  Iulia Andras; Elio Mazzone; Fijs W B van Leeuwen; Geert De Naeyer; Matthias N van Oosterom; Sergi Beato; Tessa Buckle; Shane O'Sullivan; Pim J van Leeuwen; Alexander Beulens; Nicolae Crisan; Frederiek D'Hondt; Peter Schatteman; Henk van Der Poel; Paolo Dell'Oglio; Alexandre Mottrie
Journal:  World J Urol       Date:  2019-11-27       Impact factor: 4.226

3.  A deep-learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot-assisted radical prostatectomy.

Authors:  Andrew J Hung; Jian Chen; Saum Ghodoussipour; Paul J Oh; Zequn Liu; Jessica Nguyen; Sanjay Purushotham; Inderbir S Gill; Yan Liu
Journal:  BJU Int       Date:  2019-03-20       Impact factor: 5.588

Review 4.  Machine learning in gastrointestinal surgery.

Authors:  Takashi Sakamoto; Tadahiro Goto; Michimasa Fujiogi; Alan Kawarai Lefor
Journal:  Surg Today       Date:  2021-09-24       Impact factor: 2.549

Review 5.  Applications of artificial intelligence in the diagnosis and prediction of erectile dysfunction: a narrative review.

Authors:  Yang Xiong; Yangchang Zhang; Fuxun Zhang; Changjing Wu; Feng Qin; Jiuhong Yuan
Journal:  Int J Impot Res       Date:  2022-01-13       Impact factor: 2.408

6.  Intelligent, Autonomous Machines in Surgery.

Authors:  Tyler J Loftus; Amanda C Filiberto; Jeremy Balch; Alexander L Ayzengart; Patrick J Tighe; Parisa Rashidi; Azra Bihorac; Gilbert R Upchurch
Journal:  J Surg Res       Date:  2020-04-24       Impact factor: 2.192

7.  Using machine learning to construct nomograms for patients with metastatic colon cancer.

Authors:  B Zhao; R A Gabriel; F Vaida; S Eisenstein; G T Schnickel; J K Sicklick; B M Clary
Journal:  Colorectal Dis       Date:  2020-02-16       Impact factor: 3.788

Review 8.  Surgical ergonomics for urologists: a practical guide.

Authors:  Andrew T Gabrielson; Marisa M Clifton; Christian P Pavlovich; Michael J Biles; Mitchell Huang; Jacqueline Agnew; Phillip M Pierorazio; Brian R Matlaga; Petar Bajic; Zeyad R Schwen
Journal:  Nat Rev Urol       Date:  2021-01-11       Impact factor: 14.432

Review 9.  Machine learning in the optimization of robotics in the operative field.

Authors:  Runzhuo Ma; Erik B Vanstrum; Ryan Lee; Jian Chen; Andrew J Hung
Journal:  Curr Opin Urol       Date:  2020-11       Impact factor: 2.808

10.  The role of AI technology in prediction, diagnosis and treatment of colorectal cancer.

Authors:  Chaoran Yu; Ernest Johann Helwig
Journal:  Artif Intell Rev       Date:  2021-07-04       Impact factor: 8.139

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