Development of an AI-driven system for neurosurgery with a usability study: a step towards minimal invasive robotics
Zeineldin RA, Junger D, Mathis-Ullrich F, Burgert O (2023)
Publication Type: Journal article
Publication year: 2023
Journal
Book Volume: 71
Pages Range: 537-546
Journal Issue: 7
Abstract
Recent advances in artificial intelligence have enabled promising applications in neurosurgery that can enhance patient outcomes and minimize risks. This paper presents a novel system that utilizes AI to aid neurosurgeons in precisely identifying and localizing brain tumors. The system was trained on a dataset of brain MRI scans and utilized deep learning algorithms for segmentation and classification. Evaluation of the system on a separate set of brain MRI scans demonstrated an average Dice similarity coefficient of 0.87. The system was also evaluated through a user experience test involving the Department of Neurosurgery at the University Hospital Ulm, with results showing significant improvements in accuracy, efficiency, and reduced cognitive load and stress levels. Additionally, the system has demonstrated adaptability to various surgical scenarios and provides personalized guidance to users. These findings indicate the potential for AI to enhance the quality of neurosurgical interventions and improve patient outcomes. Future work will explore integrating this system with robotic surgical tools for minimally invasive surgeries.
Authors with CRIS profile
Involved external institutions
Germany (DE)How to cite
APA:
Zeineldin, R.A., Junger, D., Mathis-Ullrich, F., & Burgert, O. (2023). Development of an AI-driven system for neurosurgery with a usability study: a step towards minimal invasive robotics. At-Automatisierungstechnik, 71(7), 537-546. https://doi.org/10.1515/auto-2023-0061
MLA:
Zeineldin, Ramy A., et al. "Development of an AI-driven system for neurosurgery with a usability study: a step towards minimal invasive robotics." At-Automatisierungstechnik 71.7 (2023): 537-546.
BibTeX: Download