Development of a machine learning-based real-time location system to streamline acute endovascular intervention in acute stroke: a proof-of-concept study

Conclusions
ML-based RTLS technology using WiFi fingerprinting has the potential to streamline delivery of acute stroke endovascular intervention by efficiently tracking patient and staff movement during stroke calls.

Source: Journal of NeuroInterventional Surgery - July 14, 2022 Category: Neurosurgery Authors: Lim, D. Z., Yeo, M., Dahan, A., Tahayori, B., Kok, H. K., Abbasi-Rad, M., Maingard, J., Kutaiba, N., Russell, J., Thijs, V., Jhamb, A., Chandra, R. V., Brooks, M., Barras, C., Asadi, H. Tags: Vascular neurology Source Type: research