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Aim: Determine if low-cost magnification devices (USB computer microscope, smartphone) enable the acquisition and maintenance of basic microsurgical skills by comparing skills learned using these devices against those learned using a surgical microscope. Determine whether skills acquired using these devices can be transferred to the surgical microscope.
Material And Methods: Twelve neurosurgical participants, ranging from faculty to postgraduate year-1 trainees, were randomly divided into three groups for training using a surgical microscope, smartphone, or USB microscope.
Implementation of a Digital Health Technology Platform Improves Neurosurgical Resident Communication Skills.
Cureus
December 2024
Department of Neurosurgery, Northwell Health, Manhasset, USA.
Introduction: Surgical residency lacks standardized curricula for teaching interpersonal and communication skills. We evaluated the utility of a digital health communication platform, Playback Health, that generates audiovisual recordings of patient-provider interactions as a tool for junior neurosurgical resident education.
Methods: Junior (postgraduate year (PGY)-2 and PGY-3) neurosurgical residents rated their comfort working with five attending neurosurgeons (one of whom implemented Playback Health) across 10 categories, grouped into three overarching domains encompassing knowledge base, technical skills, and interpersonal skills on a 10-point Likert scale.
Determination of the Surgical Landmarks for the Anterior and Middle Cranial Fossa in Dry Skulls With the Photography System, Cadavers and 3-Dimensional Computed Tomography.
J Craniofac Surg
November 2024
Department of Anatomy, Cukurova University Faculty of Medicine.
The present paper was designed to analyze the dimensions of such important bony structures and surgical landmarks, which are used by many clinicians in many surgical interventions, in dry skull, cadaver, and healthy subjects on computed tomography (CT) images, and to determine whether there is a significant difference between these methods, and to obtain reference values from 3 different methods. Eight cadavers and 16 dry skulls and 100 three-dimensional (3D) CT images were studied. Necessary permissions for the study were obtained from Ethics Comittee.
View Article and Find Full Text PDFTransformer-based neural speech decoding from surface and depth electrode signals.
J Neural Eng
January 2025
Electrical and Computer Engineering Department, New York University, 370 Jay Street, Brooklyn, New York, New York, 10012-1126, UNITED STATES.
This study investigates speech decoding from neural signals captured by intracranial electrodes. Most prior works can only work with electrodes on a 2D grid (i.e.
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