Výsledky vyhledávání - "Jessica H. Nguyen"

Akademický článek

Surgical gestures as a method to quantify surgical performance and predict patient outcomes

Publikováno v: npj Digital Medicine, Vol 5, Iss 1, Pp 1-8 (2022)

Abstract How well a surgery is performed impacts a patient’s outcomes; however, objective quantification of performance remains an unsolved challenge. Deconstructing a procedure into discrete instrument-tissue “gestures” is a emerging way to un

Externí odkaz: https://doaj.org/article/f9d2d8beaf0b42d9a6d6bf6ae4289685

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Akademický článek

Using Real-time Feedback To Improve Surgical Performance on a Robotic Tissue Dissection Task

Autor: Jasper A. Laca, Rafal Kocielnik, Jessica H. Nguyen, Jonathan You, Ryan Tsang, Elyssa Y. Wong, Andrew Shtulman, Anima Anandkumar, Andrew J. Hung

Publikováno v: European Urology Open Science, Vol 46, Iss , Pp 15-21 (2022)

Background: There is no standard for the feedback that an attending surgeon provides to a training surgeon, which may lead to variable outcomes in teaching cases. Objective: To create and administer standardized feedback to medical students in an att

Externí odkaz: https://doaj.org/article/f7efaa3a656f4919ab15b90e2190a5cc

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Akademický článek

Surgeon Automated Performance Metrics as Predictors of Early Urinary Continence Recovery After Robotic Radical Prostatectomy—A Prospective Bi-institutional Study

Autor: Andrew J. Hung, Runzhuo Ma, Steven Cen, Jessica H. Nguyen, Xiaomeng Lei, Christian Wagner

Publikováno v: European Urology Open Science, Vol 27, Iss , Pp 65-72 (2021)

Background: During robotic surgeries, kinematic metrics objectively quantify surgeon performance. Objective: To determine whether clinical factors confound the ability of surgeon performance metrics to anticipate urinary continence recovery after rob

Externí odkaz: https://doaj.org/article/54bc6a758ade4df9a68991585ea40671

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Tailored Feedback Based on Clinically Relevant Performance Metrics Expedites the Acquisition of Robotic Suturing Skills—An Unblinded Pilot Randomized Controlled Trial

Autor: Runzhuo Ma, Ryan S. Lee, Jessica H. Nguyen, Andrew Cowan, Taseen F. Haque, Jonathan You, Sidney I. Roberts, Steven Cen, Anthony Jarc, Inderbir S. Gill, Andrew J. Hung

Publikováno v: Journal of Urology. 208:414-424

Previously, we identified 8 objective suturing performance metrics highly predictive of urinary continence recovery after robotic-assisted radical prostatectomy. Here, we aimed to test the feasibility of providing tailored feedback based upon these c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f6810418079f9cc05e8c698497af5b5
https://doi.org/10.1097/ju.0000000000002691

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The Relationship Between Technical Skills, Cognitive Workload, and Errors During Robotic Surgical Exercises

Autor: Sidney I. Roberts, Steven Y. Cen, Jessica H. Nguyen, Laura C. Perez, Luis G. Medina, Runzhuo Ma, Sandra Marshall, Rafal Kocielnik, Anima Anandkumar, Andrew J. Hung

Publikováno v: J Endourol

Purpose: We attempt to understand the relationship between surgeon technical skills, cognitive workload, and errors during a simulated robotic dissection task. Materials and Methods: Participant surgeons performed a robotic surgery dissection exercis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e43c1f1ac3c76beff99b7ea130e525ea
https://doi.org/10.1089/end.2021.0790

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Road to automating robotic suturing skills assessment: Battling mislabeling of the ground truth

Autor: Yan Liu, Jessica H. Nguyen, Andrew J. Hung, Daniel I. Sanford, Nilay Pachauri, Erik Vanstrum, Sirisha Rambhatla

Publikováno v: Surgery

Objective To automate surgeon skills evaluation using robotic instrument kinematic data. Additionally, to implement an unsupervised mislabeling detection algorithm to identify potentially mislabeled samples that can be removed to improve model perfor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e837f765c5057f5479b793759b105a3
https://doi.org/10.1016/j.surg.2021.08.014

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Survival Analysis Using Surgeon Skill Metrics and Patient Factors to Predict Urinary Continence Recovery After Robot-assisted Radical Prostatectomy

Autor: Samuel Mingo, Loc Trinh, Jessica H. Nguyen, Daniel I. Sanford, Erik Vanstrum, Andrew J. Hung, Runzhuo Ma, Aastha, Yan Liu

Publikováno v: Eur Urol Focus

Background It has been shown that metrics recorded for instrument kinematics during robotic surgery can predict urinary continence outcomes. Objective To evaluate the contributions of patient and treatment factors, surgeon efficiency metrics, and sur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90f47c0b0d2bb70c9a33f6885aa01509
https://doi.org/10.1016/j.euf.2021.04.001

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