Artificial Intelligence Parallel Session
Tracks
Antara Hall
| Thursday, September 28, 2023 |
| 8:30 AM - 10:00 AM |
| Antara Hall |
Details
Oral Presentations duration (each): 7 minutes + 1 minute Q&A
Speakers & Chairs
Dr Marike Broekman
Neurosurgeon
Haaglanden Medical Center And Leiden University Medical Center
Chair
Prof Christian Freyschlag
Vice-chair
Medical University Of Innsbruck
Chair
Dr Victor Staartjes
Group Leader MICN Lab
University Hospital Zurich
Introduction to AI in Neurosurgery
8:30 AM - 8:40 AM
Dr Carlo Serra
Assistant Professor Senior Attending Physician
Universitätsspital Zürich
Machine Vision as an Intraoperative Tool in Neurosurgery
8:50 AM - 9:00 AM
Dr David Bark
Resident, PhD Student
Uppsala University Hospital
Evaluation and external validation of machine learning models predicting full spectrum GOSE outcome following traumatic brain injury
Dr Santiago Cepeda
Staff Neurosurgeon
University Hospital Río Hortega
Machine Learning-based Identification of Local Recurrence Regions in Glioblastoma using Postoperative MRI: Implications for Survival Prognostication
Dr Michael Ivan
Neurosurgeon
University Of Miami
Machine learning algorithms predict distant glioma recurrence using whole-brain magnetic resonance spectroscopy
Dr Michael Ivan
Neurosurgeon
University Of Miami
Implementing machine learning to determine pre-operative predictors for improved extent of ablation of brain tumors
Dr Thomas Rhomberg
Resident
Klinikum Klagenfurt
Practical Application of Deep Learning in Neurosurgery: Identifying CSF Shunt Systems in Hydrocephalus Patients
Dr Martin Vychopen
Resident
University Of Leipzig
IMAGINER - Improving accuracy with a Augmented Reality Navigation system during placement of external ventricular drains: A feasibility study
