首页|Universitas Pelita Harapan Reports Findings in Artificial Intelligence (Machine learning for the localization of Subthalamic Nucleus during deep brain stimulati on surgery: a systematic review and Metaanalysis)
Universitas Pelita Harapan Reports Findings in Artificial Intelligence (Machine learning for the localization of Subthalamic Nucleus during deep brain stimulati on surgery: a systematic review and Metaanalysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news originating from Tangerang, Indo nesia, by NewsRx correspondents, research stated, “Delineating subthalamic nucle us (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.”
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