# ZJU4HealthCare/Foundations-of-Medical-LLMs

Foundations of Medical Large Language Model Learning

Repository: https://github.com/ZJU4HealthCare/Foundations-of-Medical-LLMs
Canonical: https://ross.abutalabs.com/products/foundations-of-medical-llms
License: NOASSERTION
License Family: other
Last push: 2026-05-27T05:02:17+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 84, release rhythm 35, longevity 13
- inputs: {"age_days": 189, "days_push": 98, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2078, forks 351 (observed 2026-08-28T04:06:11.436243+00:00)

## What it is
An open-source Chinese-language textbook, 'Foundations of Medical Large Language Models', systematically covering medical AI and LLM fundamentals from Transformer architecture to clinical applications. It is updated monthly and includes per-chapter paper lists to track cutting-edge research.

## Use cases
- learn how large language models work in healthcare
- study medical LLM training and fine-tuning strategies
- understand clinical decision support systems powered by LLMs
- find recent papers on medical large language models
- learn about hallucination, privacy, and ethics in medical AI
- get an introduction to prompt engineering and RAG for medicine

## When to choose
- you want a structured, textbook-style introduction to medical LLMs
- you need curated paper lists to follow the latest medical AI research
- you prefer Chinese-language educational material on healthcare AI

## When to avoid
- you need runnable code or a software library rather than reading material
- you require an English-language textbook
- you need a formally peer-reviewed or licensed publication

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, llm-training, rag, prompt-engineering
- domain: large-language-models, healthcare, education, artificial-intelligence, tutorials
- platform: cross-platform
- tags: medical-llm, textbook, open-book, monthly-updates, chinese-language, clinical-ai, paper-list

## Member repositories
- ZJU4HealthCare/Foundations-of-Medical-LLMs (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:11.436243+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:56:06.145809+00:00, confidence not recorded.
  - readme: https://github.com/ZJU4HealthCare/Foundations-of-Medical-LLMs (fetched 2026-08-28T04:06:11.436243+00:00, sha 770304e1460d)
- Data as of 2026-08-30T08:39:29.467469+00:00.