Zobrazeno 1 - 10
of 20
pro vyhledávání: '"David P, Azari"'
Autor:
Theodore Tangie Longtchi, Rosana Montanez Rodriguez, Kora Gwartney, Ekzhin Ear, David P. Azari, Christopher P. Kelley, Shouhuai Xu
Publikováno v:
IEEE Access, Vol 12, Pp 187512-187535 (2024)
Malicious emails (including Phishing, Spam, and Scam) are one significant class of cyber social engineering attacks. Despite numerous defenses to counter them, the problem remains largely open. The ineffectiveness of current defenses can be attribute
Externí odkaz:
https://doaj.org/article/09b6f5e2478d49cc83f2c5300a16ff67
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
https://doi.org/10.1109/thms.2020.3035763
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
https://pubmed.ncbi.nlm.nih.gov/34860738
Autor:
Sudha R. Pavuluri Quamme, Caprice C. Greenberg, David P. Azari, Robert G. Radwin, Carla M. Pugh, Lane L. Frasier, Jacob A. Greenberg
Publikováno v:
Ann Surg
OBJECTIVE: Computer vision was used to predict expert performance ratings from surgeon hand motions for tying and suturing tasks. SUMMARY BACKGROUND DATA: Existing methods, including the objective structured assessment of technical skills (OSATS) hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67f2e5b81fdf8cf464368345e800db11
https://doi.org/10.1097/sla.0000000000002478
https://doi.org/10.1097/sla.0000000000002478
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
https://pubmed.ncbi.nlm.nih.gov/32480069
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
https://doi.org/10.1177/1541931218621133
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
https://pubmed.ncbi.nlm.nih.gov/31013463
PD27-02 FEMALE SURGEONS AND SURGICAL TRAINEES TEND TO UNDER RATE TECHNICAL SKILLS ON SELF-ASSESSMENT
Publikováno v:
Journal of Urology. 201
INTRODUCTION AND OBJECTIVES:Historically low, the proportion of female urology residents now exceeds 25% in recent years. Simulation of surgical skills is increasingly common in modern residency tr...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50ac5b6b42e4d019138c880ba6e5b363
https://doi.org/10.1097/01.ju.0000555969.42080.1b
https://doi.org/10.1097/01.ju.0000555969.42080.1b
Publikováno v:
Journal of Urology. 201
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb9a1ea372cb0f5b24fa6278867ded26
https://doi.org/10.1097/01.ju.0000555939.51490.43
https://doi.org/10.1097/01.ju.0000555939.51490.43
Autor:
Caprice C. Greenberg, Carla M. Pugh, Yue Ma, David P. Azari, Thomas Y. Yen, Sudha R. Pavuluri Quamme, Robert G. Radwin, Lane L. Frasier, Chia-Hsiung Chen
Publikováno v:
Surgery. 160:1400-1413
Background Often in simulated settings, quantitative analysis of technical skill relies largely on specially tagged instruments or tracers on surgeons’ hands. We investigated a novel, marker-less technique for evaluating technical skill during open
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c60e2cd1bf7a52c1142bbb6fe1fa30b1
https://doi.org/10.1016/j.surg.2016.05.004
https://doi.org/10.1016/j.surg.2016.05.004