surgery

Multi-Stage Robotic System for Enhanced Precision in MRI-Guided Stereotactic Neurosurgical Procedures

Multi-Stage Robotic System for Enhanced Precision in MRI-Guided Stereotactic Neurosurgical Procedures A groundbreaking study from Zhuoliang He and colleagues at Johns Hopkins University represents a pivotal step forward in integrating robotics with intra-operative magnetic resonance imaging (MRI) to significantly enhance precision in stereotactic neurosurgical procedures. Published on December 10, 2023, this research introduces a novel robotic system that ingeniously combines manual dexterity with automatic fine-tuning, facilitated by soft robotics, to accurately position instruments such as biopsy needles and electrodes during brain surgeries.

AI intraoperative classification of central nervous system tumors based on simulated nanopore sequencing

J. de Ridder and colleagues conducted a study on the development and use of a neural network classifier called Sturgeon for classifying central nervous system (CNS) tumors during surgery. They have recently published their work in Nature (DOI:10.1038/s41586-023-06615-2). The team addressed the limitations of current methods for determining precise tumor types prior to surgery and explored the potential benefits of using rapid nanopore sequencing to obtain a methylation profile during surgery.