11 citations · 19 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
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,…