Oral e-Poster Presentations - Booth 3: Emerging Technologies & Innovation 2, Emerging Technologies & Innovation 3
Tracks
Mezzanine Floor
| Monday, October 14, 2024 |
| 12:40 PM - 2:10 PM |
Details
Oral e-Posters: 3 minutes presentation duration each
Speakers & Chairs
Dr Laszlo Novak
Head Of Department
University Of Debrecen, Clinical Centre
Chair
Dr Eleni Tsianaka
Neurosurgeon
Kuwait Hospital
Chair
Dr Angel Mehandzhiyski
Resident
UMHATEM "N. I. Pirogov"
Innovations in neurosurgery - a novel machine learning predictive model for lumbar disc reherniation following microsurgical discectomy
Dr Alexis Hadjiathanasiou
Senior Physician
BG Klinikum Unfallkrankenhaus Berlin
Artificial intelligence and neurovascular decision-making: A comparative analysis of ChatGPT treatment advice and multidisciplinary neurovascular expert decisions
Dr Nuutti Vartiainen
Consultant Neurosurgeon
Helsinki University Hospital
A Novel Tissue-selective High-speed Drill – First Experiences in Neurosurgery
Mr Oscar MacCormac
Clinical Research Fellow
King's College London
Real-time Intra-operative Hyperspectral Imaging Derived Tissue Properties in Neurosurgery: A First in Human Case Series (IDEAL 1 and 2a)
Dr Marta Garvayo
Neurosurgery Resident
APHP
World-first In-vivo Validation of a Self Propelled Microinvasive Robot
Dr Martin Černý
Neurosurgery Resident
Military University Hospital Prague
Large Language Models Can Extract Tabular Data from Unstructured Patient Records To Be Used in Large-Scale Retrospective Studies
Dr Alessandro Grieco
Resident
University Of Padua
Laser in Neurosurgery: extensive use on a large cohort of patients and technical nuances.
Dr Matthew Elliot
Clinical Research Fellow/Neurosurgery Registrar
King's College London/King's College London Hospital NHS Foundation Trust
The Development and Validation of an Intra-Operative Hyperspectral Imaging System for Neurosurgery: Embedding Human Factors in the Design Phase of Novel Surgical Technology.
Dr. Muhammad Ateya
Resident
akdeniz university
To what extent can inexpensive ArUco marker based webcam navigation technology be used in neurosurgery?
Dr Ismail Zaed
Resident
Ente Ospedaliero Cantonale
Defining the Learning Curve of the Exoscope in Spine Surgery
Dr William Welch
Professor And Clinical Vice Chair
Penn Medicine
Application of Artificial Intelligence for Addressing Surgical Patient Questions: An Observational Cross-Sectional Study
Dr Milko Milev
Neurosurgeon
Acibadem City Clinic Tokuda Hospital Sofia
Machine learning identifies electrophysiological criteria for postoperative motor deficit in supratentorial tumor surgery.
Dr Giuseppe Maimone
Doctor
AUSL della Romagna
Deep Learning Methods for Brain Tumor Recognition in Gliomas Using Convolutional Neural Network
Dr George Petrescu
Assist. Prof
Bagdasar-Arseni Clinical Emergency Hospital
Virtual Reality Guided Neuroanatomy Education: Elevating Knowledge and Understanding
Ms Martina Valenca
Resident
städtisches Klinikum Dresden
Registration of Frame-Based Stereotactic Biopsies Using Cone-Beam CT
Dr Mert Arslan
Research Assistant
Dokuz Eylül Univesity Faculty Of Medıcıne Surgery Medıcıne Department Of Neurosurgery
3d Prınted Guıde Assısted Ilıac Screwıng
Dr Mert Arslan
Research Assistant
Dokuz Eylül Univesity Faculty Of Medıcıne Surgery Medıcıne Department Of Neurosurgery
Informing Patients About 3D-Printed Patient Specific Pedicle and Iliac Screw Guiding Models
Mr Martin Trandzhiev
Medical Student
Acibadem City Clinic University Hospital Tokuda
The Use of Open-Source Software and Mixed Reality for Preoperative Planning in Cranial Neurosurgery: A Proof of Concept
Ms Rawan Almamari
Student
University Of Aberdeen
Advancements in Artificial Intelligence for Hydrocephalus Diagnosis: A Systematic Review
Mr Daniel Sescu
Medical Student
University Of Aberdeen
Rub Not Scrub: “Greener Neurosurgery” – a day-to-day Sustainable Approach in Neurosurgical Theatres
Dr Erhan Simsek
Resident
Ege University
Intraoperative Detection of Pads Using Machine Learning Method, A Preliminary Study and Future Perspective
Dr Jonas Krueckel
Physician
University Hospital Regensburg
Application And Efficacy Of Large Language Models In Patient Education On Spinal Cord Injuries
Dr Martina Sebök
University Hospital Zurich
Exploring Cerebral Hemodynamic Status via Non-invasive BOLD Cerebrovascular Reactivity Mapping: A Journey Through Past, Present, and Future
