Publications by authors named "D Ellegala"

Article Synopsis
  • The study utilized deep learning to track hand motions of five experienced neurosurgeons performing simulated microvascular surgery, focusing on understanding their surgical techniques.
  • Researchers analyzed hand movements by tracking key points on the hands and calculated metrics for both gross movements and finer micromovements.
  • Findings indicated distinct patterns and efficiencies in hand motions among the surgeons, highlighting unique individual styles while suggesting deep learning's potential to improve surgical training and performance assessment.
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Objective: This study sought to assess the use of an augmented reality (AR) tool for neurosurgical anatomical education.

Methods: Three-dimensional models were created using advanced photogrammetry and registered onto a handheld AR foam cube imprinted with scannable quick response codes. A perspective analysis of the cube anatomical system was performed by loading a 3D photogrammetry model over a motorized turntable to analyze changes in the surgical window area according to the horizontal rotation.

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Background And Objectives: Many low- and middle-income countries are experiencing profound health care workforce shortages. Surgical subspecialists generally practice in large urban centers but are in high demand in rural areas. These subspecialists must be trained through sustainable programs to address this disparity.

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The purpose of this paper is to propose and qualify a novel funding mechanism for international neurosurgical nonprofits. The article first identifies and explains neurosurgeons' means for practicing in the developing world through a literature review. After this examination of the current funding methods for surgical care in low-income regions, the work transitions to an explanation of the applications and limitations of a new resource: the internal wealth of a developing country.

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