Oral e-Poster Presentations - Booth 3: Emerging Technologies & Innovation
Tracks
Exhibition Hall
| Tuesday, October 7, 2025 |
| 9:30 AM - 10:10 AM |
| Exhibition Hall |
Speakers & Chairs
Dr. Khawar Anwar
Consultant Neurosurgeon
Punjab institute Of Neurosciences
Pituitary adenoma and the latest developments in artificial intelligence technology: A systematic review
Mr Ally Fattal
Student
King's College London
Improving Planning and Rehearsing Precision in Augmented Reality for Intracranial Tumour Surgery
Mr Matthew Elliot
Clinical Research Fellow/neurosurgery Resident
King's College London
Hyperspectral imaging in 5-ALA guided glioma surgery: Wide field, objective fluorescence imaging for real-time margin differentiation.
Mr Marcus Barth
Trainee
Medical University of Graz
Launching Stealth AutoGuideTM Robot For Stereotactic Biopsy Procedures In A Neurosurgical Centre: Learning Curve And Workflow Optimization
Mr Daniel De Wilde
Student
University Hospital Of Basel
Evaluation of a Single-Use Neuronavigation Device for External Ventricular Drain Placement: A 3D-Print and Cadaveric Proof-of-Concept Study
Mr Shadi Abulhala
Attending Physician
Klinikum Rechts Der Isar
Comparison of Three-Dimensional Craniotomy Planning with the Two-Dimensional Gold Standard: A Prospective, Randomized, Pre-clinical, Cross-Over Non-inferiority Study
Dr Alessandro Boaro
Assistant Professor
University Of Verona
GPS and accelerometer data of patients undergoing surgery for cervical myelopathy for the characterization of post-operative mobility
Dr Marlise P. dos Santos
Associate Professor of Radiology
University of Ottawa, Ottawa Hospital Research Institute, Brain and Mind Research Institute
Long-Term Angiographic Outcomes and Complications of WEB and Intrasaccular Devices in Intracranial Aneurysm Treatment
Mr Adrian Ifrim
Medical Student
University Of Cambridge
Degenerative Cervical Myelopathy Progression Monitoring: Empowering Patients Through the Use of Mobile Applications
Mr Dimitris Karabetsos
Consultant
Heraklion University Hospital
AI-Powered ICP Evaluation from CT Scans: A Deep Learning Approach
