Sarah T. Roberts
· ProfessorUniversity of Southern California · Gender Studies
Active 1944–2026
About
Sarah T. Roberts, Ph.D. is a full professor at UCLA (Gender Studies, Information Studies, Labor Studies), specializing in Internet and social media policy, infrastructure, politics and culture, and the intersection of media, technology, and society.
Research topics
- Medicine
- Artificial Intelligence
- Computer Science
- Physical medicine and rehabilitation
- Medical physics
- Physical therapy
- Psychology
- Urology
Selected publications
The Journal of Urology · 2026-04-27
article1st authorCorrespondingSurgical Management of Ischemic Priapism: what are the New Options?
International braz j urol · 2025-01-01 · 4 citations
reviewOpen accessIschemic priapism is a true urologic emergency. Prompt intervention is required to alleviate the compartment syndrome and restore perfusion to the corporal bodies; failure to do so results in irreversible damage, fibrosis, and profound erectile dysfunction. This paper's objective is to review current literature surrounding the management options for ischemic priapism, focusing on newer surgical techniques. A PubMed database search was performed in June 2024, encompassing the terms "priapism," and "surgical management." Articles were reviewed by two authors independently and included if they were deemed to pertain specifically to management of ischemic priapism. In the acute setting (certainly for priapism lasting <24 hours), management is often successful using bedside maneuvers such as aspiration, irrigation, and injection of sympathomimetic agents. For more prolonged priapism, more aggressive intervention is often warranted. Newer tunneling techniques-including penoscrotal decompression and the corporal snake maneuver-have shown promising preliminary results, not just in terms of priapism resolution but also perhaps sexual function recovery.
Urologic Oncology Seminars and Original Investigations · 2025-02-27
articleThe Journal of Urology · 2023-03-23
articleYou have accessJournal of UrologyCME1 Apr 2023MP56-19 MACHINE LEARNING FRAMEWORK-BASED PROGNOSTIC CLASSIFIER FOR PREDICTING RECURRENCE-FREE SURVIVAL IN PATIENTS UNDERGOING RADICAL CYSTECTOMY FOR UROTHELIAL BLADDER CANCER Giovanni Cacciamani, Yifan Xue, Udu Durairaj, Sidney Roberts, Dhruv Patel, Ragheb Raad, Gus Miranda, Sarmad Sadeghi, Andrew Hung, Inderbir Gill, Mihir Desai, Peter Kuhn, Jeremy Mason, and Assad Oberai Giovanni CacciamaniGiovanni Cacciamani More articles by this author , Yifan XueYifan Xue More articles by this author , Udu DurairajUdu Durairaj More articles by this author , Sidney RobertsSidney Roberts More articles by this author , Dhruv PatelDhruv Patel More articles by this author , Ragheb RaadRagheb Raad More articles by this author , Gus MirandaGus Miranda More articles by this author , Sarmad SadeghiSarmad Sadeghi More articles by this author , Andrew HungAndrew Hung More articles by this author , Inderbir GillInderbir Gill More articles by this author , Mihir DesaiMihir Desai More articles by this author , Peter KuhnPeter Kuhn More articles by this author , Jeremy MasonJeremy Mason More articles by this author , and Assad OberaiAssad Oberai More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003309.19AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: To assess the potential value of using machine learning (ML) approaches to derive risk prediction models for urothelial bladder cancer (BCa) recurrence at 1, 3, and 5 years after radical cystectomy (RC). METHODS: We used our established, IRB-approved (HS-01B014), longitudinally maintained, RC database of consecutive BCa primary surgical cases containing prospectively collected, detailed clinical, radiologic, and pathologic elements (years 1975-2016) to select patients with urothelial BCa. We included on only those with urothelial carcinoma histology treated with intent to cure. We excluded non-BCa primary patients undergoing RC for other pelvic malignancies. We further sub-divided the data into three groups with known recurrence-free survival (RFS) status at the 1-, 3-, and 5-year marks from the time of RC. The data was split into training (60%), validation (20%) and testing sets (20%). Separate classifiers for predicting 1-, 3-, and 5-year RFS were constructed using ML methods that included support vector machines, multilayer perceptrons, random forests (RFC), gradient boosting (GBC), extra trees (ExTC), and AdaBoost. RESULTS: Our analysis included 2152 patients with uBCa in our dataset, of which we have a minimum of 1 year of continuous data. The performance of the three top models in predicting 1-, 3-, and 5-year RFS is 0.882, 0.830, and 0.876 for RFC, 0.884, 0.849, and 0.874 for ExtC, and 0878, 0.828, and 0.872 for GBC, respectively. The AUC for the set of the top 12 features showed an accuracy between 0.827(95% CI 0.826-0.827) to 0.879 (95% CI 0.877-0.880). CONCLUSIONS: We report a ML-based framework, which incorporates disease and patient factors to predict 1, 3, and 5 years of RFS in patients undergoing RC for BCa with higher accuracy than the leading nomograms. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e782 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Giovanni Cacciamani More articles by this author Yifan Xue More articles by this author Udu Durairaj More articles by this author Sidney Roberts More articles by this author Dhruv Patel More articles by this author Ragheb Raad More articles by this author Gus Miranda More articles by this author Sarmad Sadeghi More articles by this author Andrew Hung More articles by this author Inderbir Gill More articles by this author Mihir Desai More articles by this author Peter Kuhn More articles by this author Jeremy Mason More articles by this author Assad Oberai More articles by this author Expand All Advertisement PDF downloadLoading ...
The Journal of Urology · 2023-03-23
articleYou have accessJournal of UrologyCME1 Apr 2023MP63-10 THE DIAGNOSTIC VALUE OF URINARY CYTOLOGY VERSUS DNA METHYLATION URINE BIOMARKER TEST FOR SURVEILLANCE OF NON-MUSCLE INVASIVE BLADDER CANCER Seyedeh Sanam Ladi Seyedian, Margot Van Den Sigtenhorst Fijlstra, Sina Sobhani, Sidney Roberts, Natalie Liu, Andrew Udov, Farshad Sheybaee Moghadam, Alireza Ghoreifi, Paolo Piatti, Benjamin Jara, Lucy Sanossian, Hooman Djaladat, Anne Schuckman, Gangning Liang, and Siamak Daneshmand Seyedeh Sanam Ladi SeyedianSeyedeh Sanam Ladi Seyedian More articles by this author , Margot Van Den Sigtenhorst FijlstraMargot Van Den Sigtenhorst Fijlstra More articles by this author , Sina SobhaniSina Sobhani More articles by this author , Sidney RobertsSidney Roberts More articles by this author , Natalie LiuNatalie Liu More articles by this author , Andrew UdovAndrew Udov More articles by this author , Farshad Sheybaee MoghadamFarshad Sheybaee Moghadam More articles by this author , Alireza GhoreifiAlireza Ghoreifi More articles by this author , Paolo PiattiPaolo Piatti More articles by this author , Benjamin JaraBenjamin Jara More articles by this author , Lucy SanossianLucy Sanossian More articles by this author , Hooman DjaladatHooman Djaladat More articles by this author , Anne SchuckmanAnne Schuckman More articles by this author , Gangning LiangGangning Liang More articles by this author , and Siamak DaneshmandSiamak Daneshmand More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003321.10AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Bladder cancer (BC) has a variable clinical course. With frequent recurrence, cystoscopy and urine cytology are routinely employed during follow-up of patients with a history of non-muscle invasive bladder cancer (NMIBC). Although there are multiple FDA approved urine-based tests for BC detection and surveillance, diagnostic accuracy of these urine-based assays is still suboptimal. Here, we compare the diagnostic value of urine cytology and a newly developed urine-based DNA methylation test for surveillance of NMIBC. METHODS: We included patients undergoing blue-light surveillance cystoscopy for NMIBC between February 2019 and September 2021. Urine samples were collected at each surveillance cystoscopy. Samples were analyzed with Bladder CARE, a urine-based assay that measures methylation levels of 3 bladder cancer specific biomarkers (TRNA-Cys, SIM2, and NKX1-1) and two internal control loci using methylation-sensitive restriction enzymes coupled with qPCR. Results are reported as Bladder CARE Index (BCI) score and categorized as “positive” (BCI>5), “high risk” (2.5<BCI£5) or “negative” (BCI£2.5). Association between BCI score and category, cytology and cystoscopy findings were assessed. RESULTS: A total of 503 samples were collected from 159 patients (median age of 73, 77% male). 103 biopsies were performed during surveillance cystoscopies, of which 26 (25%) showed evidence of cancer recurrence. BCI was positive in all but four (high-risk) of the positive biopsies. While cytology was atypical in 7(27%) and highly suspicious in 2(8%) of the positive biopsies. Among 77 negative biopsies, BCI was positive in 27 samples from 20 patients, of whom 8 patients developed recurrence detected during subsequent follow ups. Cytology was only atypical in 2/8 patients. Three patients had normal cystoscopies and positive BCIs who developed upper tract urothelial carcinoma later. BCI was able to predict the recurrence within a median of 7 months prior. The Receiver Operating Characteristic (ROC) curve using the BCI values demonstrated the sensitivity, specificity, positive predictive values, and negative predictive value of 93%, 65%, 73.5%, and 89.5%, respectively. CONCLUSIONS: Urine cytology had low sensitivity and PPV for urothelial carcinoma in this cohort. Our findings demonstrated the necessity of more accurate urine biomarkers in the surveillance of NMIBC patients. Our preliminary results showed that Bladder CARE has high sensitivity and can potentially predict future recurrences. Source of Funding: Zymo Research Corp © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e875 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Seyedeh Sanam Ladi Seyedian More articles by this author Margot Van Den Sigtenhorst Fijlstra More articles by this author Sina Sobhani More articles by this author Sidney Roberts More articles by this author Natalie Liu More articles by this author Andrew Udov More articles by this author Farshad Sheybaee Moghadam More articles by this author Alireza Ghoreifi More articles by this author Paolo Piatti More articles by this author Benjamin Jara More articles by this author Lucy Sanossian More articles by this author Hooman Djaladat More articles by this author Anne Schuckman More articles by this author Gangning Liang More articles by this author Siamak Daneshmand More articles by this author Expand All Advertisement PDF downloadLoading ...
Cancer Research · 2023-04-04
articleAbstract Objectives: Bladder cancer (BC) is a common urinary tract cancer with a variable clinical course. With recurrence as high as 70%, cystoscopy and urine cytology are routinely employed during follow-up of patients with a history of non-muscle invasive bladder cancer (NMIBC). Although multiple FDA approved urine-based tests for BC detection and surveillance exist, diagnostic accuracy of these urine-based assays is still suboptimal. Here, we evaluate the diagnostic value of a newly developed non-invasive DNA methylation-based test for surveillance of NMIBC. Methods: We included patients undergoing blue-light surveillance cystoscopy for NMIBC between February 2019 and September 2021. Urine samples were collected at each surveillance cystoscopy prior any genitourinary manipulation. Samples were analyzed with Bladder CARE, a urine-based test that measures the methylation level of 3 bladder cancer specific biomarkers (TRNA-Cys, SIM2, and NKX1-1) and two internal control loci using methylation-sensitive restriction enzymes coupled with qPCR. Results are reported as Bladder CARE Index (BCI) score and categorized as “positive” (BCI &gt; 5), “high risk” (2.5 &lt; BCI ≤ 5) or “negative” (BCI ≤ 2.5). Association between BCI score and category, cytology and cystoscopy findings were assessed. Results: A total of 503 samples were collected from 159 patients (median age of 73, 77% male). 103 biopsies were performed during surveillance cystoscopies, of which 26 (25%) showed evidence of cancer recurrence.Bladder CARE was positive (22) or high-risk (4) in all the positive biopsies, while cytology was atypical only in 7 and highly suspicious in 2. Among 77 negative biopsies, Bladder CARE was positive in 27 collected from 20 patients, 8 of whom developed recurrence detected during subsequent follow ups. Cytology was atypical in 2 of these 8 recurrence patients. 3 patients with positive Bladder CARE results and normal cystoscopies developed upper tract urothelial carcinoma later. Bladder CARE test was able to predict the recurrence within a median of 7 months prior cystoscopy. The Receiver Operating Characteristic (ROC) curve using the BCI values demonstrated the sensitivity, specificity, positive predictive values, and negative predictive value of 93%, 65%, 73.5%, and 89.5%, respectively (Table 1). Conclusions: Urine cytology had low sensitivity and PPV for urothelial carcinoma in this cohort. Our findings demonstrated the necessity of more accurate urine biomarkers in the surveillance of NMIBC patients. Our preliminary results showed that Bladder CARE test has high sensitivity and can potentially predict future recurrence. Citation Format: Paolo Piatti, Sanam Ladi-Seyedian, Sidney Roberts, Farshad Sheybaee Moghadam, Alireza Ghoreifi, Jeffrey Bhasin, Benjamin Jara, Lucy Sanossian, Yap Ching Chew, Sumeet Bhanvadia, Hooman Djaladat, Anne Schuckman, Gangning Liang, Siamak Daneshmand. DNA methylation markers for the surveillance of non-muscle invasive bladder cancer: Results from a prospective pilot study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3335.
The Journal of Urology · 2023-03-23
articleYou have accessJournal of UrologyCME1 Apr 2023PD30-03 IMPORTANCE OF COGNITIVE LOAD FOR AUTOMATED ERROR DETECTION IN ROBOT-ASSISTED SURGERY EDUCATION Rafal Kocielnik, Jasper A. Laca, Elyssa Y. Wong, Timothy N. Chu, Sidney I. Roberts, Sandra Marshall, Anima Anandkumar, and Andrew J. Hung Rafal KocielnikRafal Kocielnik More articles by this author , Jasper A. LacaJasper A. Laca More articles by this author , Elyssa Y. WongElyssa Y. Wong More articles by this author , Timothy N. ChuTimothy N. Chu More articles by this author , Sidney I. RobertsSidney I. Roberts More articles by this author , Sandra MarshallSandra Marshall More articles by this author , Anima AnandkumarAnima Anandkumar More articles by this author , and Andrew J. HungAndrew J. Hung More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003316.03AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Cognitive Load (CL) can affect surgeon performance and the ability of training surgeons to receive feedback. We investigate the value of CL for detecting surgical errors in robot-assisted surgery (RAS) with a machine learning (ML)-based model. METHODS: We use 2 datasets (DS1, DS2) where 24 and 44 surgeons, respectively, performed a simulated dry-lab tissue dissection task on a live daVinci Xi surgical robot. The data contains video and per-second Index of Cognitive Activity (ICA), derived from pupillary change tracked via Tobii Eyetrackers. DS1 includes surgeons with low, medium, and high experience (by hours of RAS) as well as annotated tissue Tear (n=70) and Puncture (n=62) errors. DS2 contains data from low experience surgeons only and annotations for Tears (n=445) and Punctures (n=527). We extract 5 sec of video and varying history of ICA (from 5 to 60 sec) before and around human-labeled errors (positive label). We randomly sample the remaining data (negative label). We train variations of ML architecture consisting of video processing (pretrained Resnet18) and/or ICA processing (LSTM). We train the model on 3 different 80/20 train-test between-participant random splits. RESULTS: When including surgeons of mixed experience levels (DS1), ICA alone (AUC=64.28) is competitive with video alone (AUC=62.59) in detecting surgical errors (Figure 1A). However, the use of ICA in combination with video improves AUC in both datasets with gains of 5.55 (DS1) and 3.24 (DS2). History of ICA up to 20-30 seconds seems beneficial for error detection, after which point there is no further gain (Figure 1B). This is likely attributed to gradual build-up in CL leading to an error, and low-frequency of ICA measurements (1/sec), which may hinder extracting useful information from short time windows. The challenge of extracting meaningful information seems supported by Figure 1C, where providing processed ICA is beneficial (AUC=62.95) on top of raw ICA measurements (AUC=58.88). CONCLUSIONS: A surgeon’s CL in the context of surgical errors in RAS education is important. We show how CL is particularly valuable when a dataset includes mixed-experience surgeons. We also show the importance of ICA history length and pre-processing. Further work will explore better methods of extracting valuable features from CL data and its importance in surgery. Source of Funding: This material is based upon work supported by the National Science Foundation under Grant # 2030859 to the Computing Research Association for the CIFellows Project. Additionally, research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under Award Number R01CA273031. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e831 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Rafal Kocielnik More articles by this author Jasper A. Laca More articles by this author Elyssa Y. Wong More articles by this author Timothy N. Chu More articles by this author Sidney I. Roberts More articles by this author Sandra Marshall More articles by this author Anima Anandkumar More articles by this author Andrew J. Hung More articles by this author Expand All Advertisement PDF downloadLoading ...
Surgical gestures as a method to quantify surgical performance and predict patient outcomes
npj Digital Medicine · 2022 · 54 citations
- Artificial Intelligence
- Computer Science
- Medicine
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 understand surgery. To establish this paradigm in a procedure where performance is the most important factor for patient outcomes, we identify 34,323 individual gestures performed in 80 nerve-sparing robot-assisted radical prostatectomies from two international medical centers. Gestures are classified into nine distinct dissection gestures (e.g., hot cut) and four supporting gestures (e.g., retraction). Our primary outcome is to identify factors impacting a patient's 1-year erectile function (EF) recovery after radical prostatectomy. We find that less use of hot cut and more use of peel/push are statistically associated with better chance of 1-year EF recovery. Our results also show interactions between surgeon experience and gesture types-similar gesture selection resulted in different EF recovery rates dependent on surgeon experience. To further validate this framework, two teams independently constructe distinct machine learning models using gesture sequences vs. traditional clinical features to predict 1-year EF. In both models, gesture sequences are able to better predict 1-year EF (Team 1: AUC 0.77, 95% CI 0.73-0.81; Team 2: AUC 0.68, 95% CI 0.66-0.70) than traditional clinical features (Team 1: AUC 0.69, 95% CI 0.65-0.73; Team 2: AUC 0.65, 95% CI 0.62-0.68). Our results suggest that gestures provide a granular method to objectively indicate surgical performance and outcomes. Application of this methodology to other surgeries may lead to discoveries on methods to improve surgery.
British Journal of Urology · 2022-01-19 · 12 citations
articleObjective To evaluate long‐term renal function in patients with chronic kidney disease (CKD) Stage IIIa who underwent radical cystectomy and orthotopic neobladder (RC/ONB) compared to matched controls. Patients and Methods Using our Institutional Review Board‐approved institutional database, patients with a glomerular filtration rate (GFR) of 45–59.9 mL/min/1.73 m 2 who underwent RC/ONB were identified. A control group of patients with a GFR of ≥60 mL/min/1.73 m 2 was selected. Groups were matched based on age, baseline hypertension/diabetes mellitus, perioperative chemotherapy, and preoperative hydronephrosis. A decrease in GFR of >10 mL/min/1.73 m 2 during the follow‐up was considered significant. A multivariate Cox regression analysis was performed to identify predictors of GFR decline in each group. Results Of 1237 patients who underwent RC/ONB, 508 patients were included (254 per group). The mean preoperative GFR was 53.3 mL/min/1.73 m 2 in the study group and 78.8 mL/min/1.73 m 2 in controls. The median follow‐up was 3.7 years. During follow‐up, GFR stayed at or above baseline in 51% of the study patients compared to 46% of the controls ( P = 0.5). The mean time to a significant GFR decline in the study patients was significantly longer compared to the controls (5.6 vs 2 years, respectively; P < 0.001). In multivariate analysis, neoadjuvant chemotherapy was found to be the strongest predictor of a significant GFR decline as well as GFR decline below baseline (hazard ratio [HR] 2.15, 95% confidence interval [CI] 1.4–3.29, P = 0.004; and HR 2.15, 95% CI 1.4–3.29, P < 0.001, respectively). Conclusion Patients with CKD Stage IIIa who undergo ONB appear to have comparable long‐term renal function to those with a GFR of ≥60 mL/min/1.73 m 2 . An ONB reconstruction is a safe option for patients with CKD Stage IIIa desiring a continent diversion.
The Journal of Urology · 2022-04-07
article1st authorCorrespondingYou have accessJournal of UrologyCME1 May 2022MP10-07 THE RELATIONSHIP OF TECHNICAL SKILLS AND COGNITIVE WORKLOAD TO ERRORS DURING ROBOTIC SURGICAL EXERCISES Sidney I. Roberts, Steven Cen, Jessica H. Nguyen, Laura C. Perez, Luis G. Medina, Runzhuo Ma, Sandra P. Marshall, Rafal Kocielnik, Anima Anandkumar, and Andrew J. Hung Sidney I. RobertsSidney I. Roberts More articles by this author , Steven CenSteven Cen More articles by this author , Jessica H. NguyenJessica H. Nguyen More articles by this author , Laura C. PerezLaura C. Perez More articles by this author , Luis G. MedinaLuis G. Medina More articles by this author , Runzhuo MaRunzhuo Ma More articles by this author , Sandra P. MarshallSandra P. Marshall More articles by this author , Rafal KocielnikRafal Kocielnik More articles by this author , Anima AnandkumarAnima Anandkumar More articles by this author , and Andrew J. HungAndrew J. Hung More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002532.07AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Surgical performance and skill in robotic surgery has been shown to impact patient outcomes and complication rates. Cognitive workload, or mental strain in the working memory, has been shown to differ between surgeon experience levels. Herein, we attempt to understand the relationship between surgeon technical skills, cognitive workload, and discrete errors committed during a simulated robotic dissection task. METHODS: Participant surgeons performed a robotic surgery dissection exercise (peeling a clementine, removing a single wedge). Participants were grouped based on surgical experience: novice (no prior surgical experience), intermediate (<100 robotic cases), and expert (≥100 cases). Technical skills were evaluated utilizing the validated Global Evaluative Assessment of Robotic Skills (GEARS) assessment tool. The task was also evaluated for errors during active dissection or passive retraction. Cognitive workload was quantified as an Index of Cognitive Activity (ICA), derived from Task-Evoked-Pupillary-Response metrics; ICA ranged 0-1, with 1 representing maximum ICA. Generalized Estimating Equation (GEE) was used for all modelings to establish relationships between surgeon technical skills, cognitive workload and errors. RESULTS: Overall there were 22 patients: 7 novices, 9 intermediates, and 6 experts. We found a strong association between technical skills, as measured by multiple GEARS domains (depth perception, force sensitivity and robotic control), and passive errors - with higher GEARS scores associated with a lower relative risk of errors (all p <0.01). For novice surgeons, as average GEARS scores increased, the average estimated ICA decreased. In contrast, as average GEARS increased for expert surgeons, the average estimated ICA increased. When exhibiting optimal technical skill (maximal GEARS scores) novices and experts had a similar range of ICA scores (ICA 0.47 and 0.42, respectively) (Figure 1). CONCLUSIONS: This study found that there is an optimal cognitive workload level for surgeons of all experience levels during our robotic surgical exercise. Select technical skills were strong predictors of errors. Future research will explore whether an ideal cognitive workload range truly optimizes surgical performance and reduce surgical errors. Source of Funding: This study was supported in part by the National Institute Of Biomedical Imaging And Bioengineering of the National Institutes of Health under Award Number K23EB026493 © 2022 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 207Issue Supplement 5May 2022Page: e148 Advertisement Copyright & Permissions© 2022 by American Urological Association Education and Research, Inc.MetricsAuthor Information Sidney I. Roberts More articles by this author Steven Cen More articles by this author Jessica H. Nguyen More articles by this author Laura C. Perez More articles by this author Luis G. Medina More articles by this author Runzhuo Ma More articles by this author Sandra P. Marshall More articles by this author Rafal Kocielnik More articles by this author Anima Anandkumar More articles by this author Andrew J. Hung More articles by this author Expand All Advertisement PDF downloadLoading ...
Recent grants
NIH · $148k · 1986
Frequent coauthors
- 15 shared
Clara M. Szego
UCLA Jonsson Comprehensive Cancer Center
- 12 shared
Claire Zomzely
- 10 shared
Andrew J. Hung
- 9 shared
Leo T. Samuels
- 9 shared
Hyunwoo P. Kang
University of Southern California
- 9 shared
Ioanna K. Bolia
Keck Hospital of USC
- 9 shared
Michael Kim
Evangelical Lutheran Church
- 9 shared
Tamara Sharf
University of Southern California
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