Výsledky vyhledávání

Report

Deep Learning for Video-Based Assessment of Endotracheal Intubation Skills

Autor: Ainam, Jean-Paul, Yanik, Erim, Rahul, Rahul, Kunkes, Taylor, Cavuoto, Lora, Clemency, Brian, Tanaka, Kaori, Hackett, Matthew, Norfleet, Jack, De, Suvranu

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 skills is essential for the training and certification of healthcare pro

Externí odkaz: http://arxiv.org/abs/2404.11727

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Report

Cognitive-Motor Integration in Assessing Bimanual Motor Skills

Autor: Yanik, Erim, Intes, Xavier, De, Suvranu

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, overlooking the integral role of cognitive processes. This study int

Externí odkaz: http://arxiv.org/abs/2404.10889

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Report

One-shot skill assessment in high-stakes domains with limited data via meta learning

Autor: Yanik, Erim, Schwaitzberg, Steven, Yang, Gene, Intes, Xavier, Norfleet, Jack, Hackett, Matthew, De, Suvranu

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 requirements and confinement to specific training domains. This prevents t

Externí odkaz: http://arxiv.org/abs/2301.00812

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Report

Video-based Formative and Summative Assessment of Surgical Tasks using Deep Learning

Autor: Yanik, Erim, Kruger, Uwe, Intes, Xavier, Rahul, Rahul, De, Suvranu

To ensure satisfactory clinical outcomes, surgical skill assessment must be objective, time-efficient, and preferentially automated - none of which is currently achievable. Video-based assessment (VBA) is being deployed in intraoperative and simulati

Externí odkaz: http://arxiv.org/abs/2203.09589

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Akademický článek

One-shot skill assessment in high-stakes domains with limited data via meta learning

Autor: Yanik, Erim, Schwaitzberg, Steven, Yang, Gene, Intes, Xavier, Norfleet, Jack, Hackett, Matthew, De, Suvranu

Publikováno v: In Computers in Biology and Medicine May 2024 174

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Report

Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review

Autor: Yanik, Erim, Intes, Xavier, Kruger, Uwe, Yan, Pingkun, Miller, David, Van Voorst, Brian, Makled, Basiel, Norfleet, Jack, De, Suvranu

Surgical training in medical school residency programs has followed the apprenticeship model. The learning and assessment process is inherently subjective and time-consuming. Thus, there is a need for objective methods to assess surgical skills. Here

Externí odkaz: http://arxiv.org/abs/2103.05113

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Dissertation/ Thesis

Magnetic Field and Heat Transfer Analysis of Magnetic Refrigeration Systems with Different Magnet Array Geometries

Autor: Yanik, Erim

Magnetic refrigeration is one of the alternative cooling technologies that is environmental friendly and has high theoretical coefficient of performance values. This thesis study focuses on magnetic field and heat transfer enhancement of a reciprocat

Externí odkaz: http://pqdtopen.proquest.com/#viewpdf?dispub=10808213

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