Brachial plexus segmentation on ultrasound imaging by a deep learning model for neuraxial blockade
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Updated
Feb 19, 2024 - HTML
Brachial plexus segmentation on ultrasound imaging by a deep learning model for neuraxial blockade
Python project that simulates a Target Controlled Infusion pump for anesthesia delivery
An early warning system to predict anesthetic depth changes using machine learning on intraoperative vital signs.
This repository contains the documentation for reproducibility of the study "Preoperative atelectasis in patients with obesity undergoing bariatric surgery: a cross-sectional study".
Ontology-driven clinical reasoning for rare disease perioperative management. Tri-channel inference (Rule Engine + OWL + NLP) with Arbiter adjudication and multi-model LLM fusion. Built at Peking Union Medical College Hospital.
🛡️ Develop a neuroscience-informed safety framework for using AI in anesthesiology, ensuring secure clinical implementation and patient safety.
Code for JCMC publication that resulted from UVM B.Sc. thesis work (doi: 10.1007/s10877-022-00908-z).
Simulates the distribution of inhaled anesthetics in different body compartments
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