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

This repository contains the documentation for reproducibility of the study "Preoperative atelectasis in patients with obesity undergoing bariatric surgery: a cross-sectional study".

An early warning system to predict anesthetic depth changes using machine learning on intraoperative vital signs.

Alles voor KANE.

🛡️ 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).

A neuroscience-informed safety framework for artificial intelligence in anesthesiology, addressing consciousness monitoring, closed-loop drug delivery, and perioperative risk prediction through evidence-based implementation standards.

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.

Evidence-based multimodal anesthesia protocols for robot-assisted total knee arthroplasty (rTKA). Three pathways including opioid-free anesthesia with nerve blocks, synthesized from 2023-2025 ERAS and ASRA guidelines.

A structured clinical reasoning portfolio for medical school preparation, documenting progressive ICU case analysis across hemodynamics, shock management, ventilation strategies, neurocritical care, and trauma. All cases are hypothetical and used for premedical academic development.

Simulates the distribution of inhaled anesthetics in different body compartments

Ethical framework for synthetic intelligence (Working Paper)