Made Agus Mahendra Inggas, Terry Coyne, Takaomi Taira, Jan Axel Karsten, Utsav Patel, Saurabh Kataria, Aulia Wiratama Putra, Jonathan Setiawan, Andrew Wilbert Tanuwijaya, Edbert Wong, Aakanksha Pitliya, Teddy Tjahyanto, Jeremiah Hilkiah Wijaya
INTRODUCTION: Delineating subthalamic nucleus (STN) boundaries using microelectrode recordings (MER) and trajectory history is a valuable resource for neurosurgeons, aiding in the accurate and efficient positioning of deep brain stimulation (DBS) electrodes within the STN. Here, we aimed to assess the application of artificial intelligence, specifically Hidden Markov Models (HMM), in the context of STN localization. METHODS: A comprehensive search strategy was employed, encompassing electronic databases, including PubMed, EuroPMC, and MEDLINE...
October 10, 2024: Neurosurgical Review