Obsidian + Codex AI Knowledge Base
A bilingual Cornell-facing course on building a local-first AI knowledge base with Obsidian, Markdown, private GitHub sync, source screenshots, and Codex-assisted organization.
Cornell University student learning trackChina-based clinical and AI education
Clinician-led · AI-assisted · China study experience
AI and Anesthesia Learning Notes
For curious learners interested in anesthesia, clinical observation, and practical AI.
10
published teaching modules
AI + OR
courseware, visual systems, and clinical observation
2
languages: Chinese and English
Product film · Ink Press template
A clearer map, in motion
See the courseware as a living product: real course cards, a real observer checklist, and a clinician-led workflow shaped with AI assistance.
36 seconds
1920 × 1080
SFX only
Course Modules
The site includes anesthesia modules and AI visual-workflow modules. Each opens directly in the browser and is written for quick orientation rather than heavy reference reading.
1. Anesthesia observation roadmaps
Beginner-facing guides for induction, monitoring, surgical context, emergence, and PACU handoff.
2. Scenario-specific clinical reasoning
Eight clinical teaching sets explain gynecologic surgery, HFS / MVD neuroanesthesia, cesarean / high-risk obstetric anesthesia, hysteroscopic surgery, pediatric ENT anesthesia, bariatric sleeve gastrectomy anesthesia, orthopedic anesthesia, and anesthesia-led insomnia care.
3. Practical AI learning systems
AI workflow modules show how local-first knowledge bases, reusable Codex skills, illustration systems, and scientific visual assets become practical courseware.
Gynecologic Surgery Anesthesia
A guided observation module for total laparoscopic hysterectomy and TVT-O, focused on general anesthesia, airway management, drug roles, monitoring, emergence, and PACU handoff.
Hemifacial Spasm MVD Anesthesia
A neuroanesthesia module for microvascular decompression, introducing facial nerve compression, general anesthesia, neurophysiological monitoring, neuromuscular blockade balance, and smooth emergence.
Cesarean and High-Risk Obstetric Anesthesia
A module on cesarean anesthesia options, spinal workflow, high-risk placenta previa / PAS, hemorrhage preparation, gestational hypertension, gestational diabetes, and advanced maternal age.
Hysteroscopic Surgery Anesthesia
A self-guided module for uterine polyp or abnormal uterine bleeding hysteroscopy, focused on general anesthesia, airway planning, distension fluid safety, fluid deficit, and ambulatory recovery.
ENT Pediatric Anesthesia
A self-guided module on ENT anesthesia for 7- and 9-year-old patients, focused on shared airway teamwork, pediatric airway differences, adenoid hypertrophy, tonsillar and laryngeal lesions, vocal cord polyp, and smooth emergence.
Bariatric Sleeve Gastrectomy Anesthesia
A self-guided module for laparoscopic sleeve gastrectomy anesthesia in a 23-year-old female patient with BMI 36.1, focused on obesity physiology, ramped airway positioning, pneumoperitoneum, dosing-weight concepts, VTE prevention, and PACU recovery.
Orthopedic Anesthesia
A self-guided module for total hip arthroplasty, pelvic and acetabular fracture surgery under neuraxial anesthesia, plus humerus ORIF under general anesthesia, focused on anesthesia choice, block level, hypotension, blood loss, positioning, VTE prevention, and PACU neurovascular checks.
Anesthesia-Led Insomnia Care
A self-guided module on insomnia care from an anesthesiology perspective, introducing CBT-I, dexmedetomidine titration, stellate ganglion block, buccal acupuncture, multimodal sleep support, evidence boundaries, and safety monitoring.
Japanese Handdrawn Illustrations Skill Course
A bilingual teaching module for students that explains how to use a Codex illustration skill, how the GitHub project is structured, and how to fork it into a reusable visual system of your own.
Scientific Visual Skills Course
A bilingual teaching module that explains how to use a three-skill scientific visual pack for infographics, cover visuals, and paper mechanism figures, then adapt the GitHub project into your own visual workflow.
How the Materials Are Made
The workflow is intentionally practical: clinical context first, AI as a production assistant, and human review before teaching use.
1. Start from a real teaching need
Each module begins with an actual case or observation day, then turns it into a learner-friendly roadmap.
2. Make concepts visible
Medical infographics explain anatomy, workflow, monitoring, and risk. Hand-drawn illustrations help beginners remember the idea.
3. Keep it easy to share
Standalone HTML pages embed the images, so learners can open them from a link without installing software.
Purpose and Boundaries
This project supports a short, beginner-friendly learning experience for Cornell students visiting China. It is not a clinical protocol library.
These materials are introductory teaching aids. They do not provide patient-specific medical advice, drug dosing protocols, or clinical directives. They do not replace hospital policies, anesthesia records, attending physician judgment, or formal medical training.