Výsledky vyhledávání - "Brady L. Miller"

A Comparison of Expert Ratings and Marker-Less Hand Tracking Along OSATS-Derived Motion Scales

Autor: Guanhua Chen, Brady L. Miller, Robert G. Radwin, Brian Le, David P. Azari, Kristin L. Long, Jacob A. Greenberg, Reginald C. Bruskewitz

Publikováno v: IEEE Transactions on Human-Machine Systems. 51:22-31

Objective: This study creates linear and generalized additive models (GAMs) of video-recorded two-dimensional hand motion (synonymously referred to as hand movements or hand kinematics) to predict expert-rated performance along a series of surgical m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::116ad544ab0710dc1facd569e00c7a50
https://doi.org/10.1109/thms.2020.3035763

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Modeling Performance of Open Surgical Cases

Autor: David P, Azari, Lane L, Frasier, Brady L, Miller, Sudha R, Pavuluri Quamme, Brian V, Le, Caprice C, Greenberg, Robert G, Radwin

Publikováno v: Simulation in healthcare : journal of the Society for Simulation in Healthcare. 16(6)

Previous efforts used digital video to develop computer-generated assessments of surgical hand motion economy and fluidity of motion. This study tests how well previously trained assessment models match expert ratings of suturing and tying video clip

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::f67394c3e68480d47508aa8581945397
https://pubmed.ncbi.nlm.nih.gov/34860738

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Oncologic outcomes in robot-assisted radical cystectomy: Where do we stand in 2021?

Autor: Mark Pachorek, Clayton Lau, Andre-Philippe Sam, Brady L. Miller, Bertram Yuh

Publikováno v: Mini-invasive Surgery.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bb54fb180c082d3fa08c8390a9b403a7
https://doi.org/10.20517/2574-1225.2021.25

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Evidence That Female Urologists and Urology Trainees Tend to Underrate Surgical Skills on Self-Assessment

Autor: David P. Azari, Brian Le, Rebecca C. Gerber, Brady L. Miller, Robert G. Radwin

Publikováno v: The Journal of surgical research. 254

Historically low, the proportion of female urology residents now exceeds 25% in recent years. Self-assessment is a widely used tool to track progress in medical education. However, the validity of its results and gender differences may influence inte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::016dccc08c2da8117c0b8fcbaa4e4c99
https://pubmed.ncbi.nlm.nih.gov/32480069

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Can Surgical Performance for Varying Experience be Measured from Hand Motions?

Autor: Jacob A. Greenberg, Carl A.M. Pugh, Yu Hen Hu, Brian Le, David P. Azari, Caprice C. Greenberg, Robert G. Radwin, Brady L. Miller

Publikováno v: Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 62:583-587

This study evaluates if hand movements, tracked using digital video, can quantify in-context surgical performance. Participants of varied experience completed simple interrupted suturing and running subcuticular suturing tasks. Marker-less motion tra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::89122989a66d83da7f0b0aa8a69fd4f1
https://doi.org/10.1177/1541931218621133

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Using Surgeon Hand Motions to Predict Surgical Maneuvers

Autor: Brady L. Miller, Yu Hen Hu, David P. Azari, Robert G. Radwin, Brian Le

Publikováno v: Human factors. 61(8)

Objective: This study explores how common machine learning techniques can predict surgical maneuvers from a continuous video record of surgical benchtop simulations. Background: Automatic computer vision recognition of surgical maneuvers (suturing, t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac0e2685577b826f52fcb83e4b8a869e
https://pubmed.ncbi.nlm.nih.gov/31013463

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