11 citations · 19 across the 5 of their papers we have counts for
5 papers
Deep Learning for Video-Based Assessment of Endotracheal Intubation Skills
Jean-Paul Ainam, Erim Yanik, Rahul Rahul +7
Endotracheal intubation (ETI) is an emergency procedure performed in civilian and combat casualty care settings to establish an airway. Objective and automated assessment of ETI sk…
Cognitive-Motor Integration in Assessing Bimanual Motor Skills
Erim Yanik, Xavier Intes, Suvranu De
Accurate assessment of bimanual motor skills is essential across various professions, yet, traditional methods often rely on subjective assessments or focus solely on motor actions…
One-shot skill assessment in high-stakes domains with limited data via meta learning
Erim Yanik, Steven Schwaitzberg, Gene Yang +4
Deep Learning (DL) has achieved robust competency assessment in various high-stakes fields. However, the applicability of DL models is often hampered by their substantial data requ…
Video-based Formative and Summative Assessment of Surgical Tasks using Deep Learning
Erim Yanik, Uwe Kruger, Xavier Intes +2
To ensure satisfactory clinical outcomes, surgical skill assessment must be objective, time-efficient, and preferentially automated - none of which is currently achievable. Video-b…
Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review
Erim Yanik, Xavier Intes, Uwe Kruger +6
Surgical training in medical school residency programs has followed the apprenticeship model. The learning and assessment process is inherently subjective and time-consuming. Thus,…