Dr. Li Zhanbing's Knowledge BaseWhere clinical rigor meets intelligent systems

Designed for physicians, researchers, and makers who explore medicine with an AI-native mindset.

🚀 Start exploring

🔍 Project vision

⭐️ GitHub

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Curated knowledge graph

Navigate cross-disciplinary insights that connect medicine, research, and AI workflows.

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Living publication

Git-powered releases keep the content transparent, versioned, and always up to date.

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Immersive interface

A refined UI, dark-mode aware, tailored for long-form reading and exploration.

📌 Featured tracks

🩺 Clinics & Research

Clinical reasoning frameworks, evidence-based reviews, and rapid takes on emerging studies.

Read research notes

🤖 Intelligent toolchain

Real-world experiments with conversational AI, automations, and decision support patterns.

See applied AI logs

📚 Knowledge operations

Curriculum design, learning pathways, and collaboration playbooks for multidisciplinary teams.

Join the contribution guide

📈 Signals

Bi-lingualFull parity between Simplified Chinese and English

Always freshGitHub Actions pushes every update in minutes

Collaboration-readyOpen PR workflow welcoming clinicians and engineers

🌱 Principles & aspirations

Compassion meets computation. This library is a continuously validated learning system—grounded in clinical reality, open to diverse expertise, and accelerated by intelligent tooling.

💡 Track the frontier where medicine intersects with AI ethics and practice
🧭 Maintain a coherent roadmap of methods, glossaries, and playbooks
🤝 Invite more voices to co-create and audit critical medical knowledge

Begin reading →

Bookmark the site or ⭐️ the repository for release notifications. New chapters surface first in the navigation and the update guide.