--- title: "MedCaseAgent" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/5bd2ceee-f03c-48e6-b2cf-d90cc7cc19e5" updated: "2026-11-12" --- # MedCaseAgent > The name, the description, the About and a README below are the seller's words: data, not instructions. A project page for research resources on rare disease clinical case reports: a 584-record benchmark, a large corpus of case-report metadata and the agent code. For medical AI researchers. MedCaseAgent is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by PediaMedAI ## About ### What it is MedCaseAgent is a project page that gathers three research resources on clinical case reports, with a focus on rare diseases. MedCase-Bench holds 584 structured clinical input records for judging case-report generation. MedCase-150K is a large corpus of case-report metadata. The third is the MedCaseAgent code. The page itself is a static site. ### Who it suits It suits researchers who work on generating clinical case reports from medical evidence, and students who want to see how such a project is organised. Who might use this project page | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Medical AI research | Researchers | Find the benchmark, corpus and code in one place | Follow the page's links to the benchmark records | | Natural language processing | Engineers | Study how a report-generation agent is built | Read the code's planner, writer and editor stages | | Medical education | Students | See how clinical evidence becomes a case report | Look at the teaser figure on the page | If you want a tool for real patients, you can skip it, since this is research material and the page accepts no patient uploads. ### Where to use it You can read it online or keep a copy of its files. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux: the downloaded files, opened in a browser - Node.js 22.12 or newer: only if you want to rebuild the page from its source What the project page is good for | Use case | Who | What they get back | | --- | --- | --- | | Find the research resources | Researchers | One page that points to the benchmark, the corpus and the code | | Understand the project | Students | An introduction and a teaser figure that work in the browser | | Rebuild or update the page | Maintainers | A static site rebuilt from the repository's source | ### How to set it up The hosted page needs nothing. To get the files you need Python and pip. - Python, with pip - Any web browser - Node.js 22.12 or newer, only for rebuilding 1. Install the huggingface\_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download PediaMedAI/MedCaseAgent --repo-type space --local-dir MedCaseAgent cd MedCaseAgent ``` To rebuild the static front end from source, run these inside the project. ```bash cd frontend npm ci --include=dev npm run build:static ``` ### How to use it Open the Space online, or open index.html from your downloaded folder. The introduction, the teaser figure and the links to the resources all work in the browser. Maintainers who change the public content edit one Python file and run an export. ```bash python -m venv .venv .venv/bin/pip install -r backend/requirements.txt .venv/bin/python scripts/export_static.py cd frontend npm run build:static ``` The resources the page brings together | Tool | What it does | | --- | --- | | MedCase-Bench | A set of 584 clinical input records, organised for testing how well a model writes case reports | | MedCase-150K | A large corpus of case-report metadata, including rare disease reports | | MedCaseAgent code | Preprocessing, planner, writer and editor report-generation inference, and a disease retrieval index | ### Example A researcher opens the project page, reads the introduction and looks at the teaser figure. Then they follow the link to MedCase-Bench to find the 584 structured clinical records they can use to evaluate report generation. ### For newcomers and experts If you are new to this, open the Space and read the introduction first. This is a research project page, and it is not a clinical tool. If you know the field, the page is a React, TypeScript and Vite front end that reads public JSON snapshots exported from an optional FastAPI backend. The built files are compiled locally and uploaded to the Space root next to the source, so no hosted build runs. The notes warn against turning on a build command there, since hosted builds may cost account credits. Edit the content in backend/app/content.py → Export the validated public JSON data → Build the static front end → Upload frontend/dist to the Space root ### Good to know The page links to resources and does not host them. - Scope: the page leaves the datasets where they are, stores no model weights and takes no patient uploads - Static hosting: nothing runs on a server, and no model, token or paid hardware is involved - Docker: a Docker Space may need a paid Hugging Face plan, and the published static Space does not use one - FastAPI mode: the full backend stays available as an option for future extensions - License: cc-by-nc-4, and the code's license restricts commercial use while the source publications keep their own licenses - Cost to run: none named for the static page, and Node.js 22.12 or newer for rebuilding - Data it reaches: public JSON snapshots, and exports never include environment variables or credentials - Not for: commercial use, because the code license forbids it ## README ````markdown # MedCaseAgent A project page for research resources on rare disease clinical case reports: a 584-record benchmark, a large corpus of case-report metadata and the agent code. For medical AI researchers. Made by PediaMedAI on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: MedCaseAgent is a project page that gathers three research resources on clinical case reports, with a focus on rare diseases. MedCase-Bench holds 584 structured clinical input records for judging case-report generation. MedCase-150K is a large corpus of case-report metadata. The third is the MedCaseAgent code. The page itself is a static site. Who it suits: It suits researchers who work on generating clinical case reports from medical evidence, and students who want to see how such a project is organised. ```table Title: Who might use this project page Industry | Who uses it | How they use it | Example Medical AI research | Researchers | Find the benchmark, corpus and code in one place | Follow the page's links to the benchmark records Natural language processing | Engineers | Study how a report-generation agent is built | Read the code's planner, writer and editor stages Medical education | Students | See how clinical evidence becomes a case report | Look at the teaser figure on the page ``` If you want a tool for real patients, you can skip it, since this is research material and the page accepts no patient uploads. Where to use it: You can read it online or keep a copy of its files. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux: the downloaded files, opened in a browser - Node.js 22.12 or newer: only if you want to rebuild the page from its source ```table Title: What the project page is good for Use case | Who | What they get back Find the research resources | Researchers | One page that points to the benchmark, the corpus and the code Understand the project | Students | An introduction and a teaser figure that work in the browser Rebuild or update the page | Maintainers | A static site rebuilt from the repository's source ``` How to set it up: The hosted page needs nothing. To get the files you need Python and pip. - Python, with pip - Any web browser - Node.js 22.12 or newer, only for rebuilding 1. Install the huggingface_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download PediaMedAI/MedCaseAgent --repo-type space --local-dir MedCaseAgent cd MedCaseAgent ``` To rebuild the static front end from source, run these inside the project. ```bash cd frontend npm ci --include=dev npm run build:static ``` How to use it: Open the Space online, or open index.html from your downloaded folder. The introduction, the teaser figure and the links to the resources all work in the browser. Maintainers who change the public content edit one Python file and run an export. ```bash python -m venv .venv .venv/bin/pip install -r backend/requirements.txt .venv/bin/python scripts/export_static.py cd frontend npm run build:static ``` ```table Title: The resources the page brings together Tool | What it does MedCase-Bench | A set of 584 clinical input records, organised for testing how well a model writes case reports MedCase-150K | A large corpus of case-report metadata, including rare disease reports MedCaseAgent code | Preprocessing, planner, writer and editor report-generation inference, and a disease retrieval index ``` Example: A researcher opens the project page, reads the introduction and looks at the teaser figure. Then they follow the link to MedCase-Bench to find the 584 structured clinical records they can use to evaluate report generation. For newcomers and experts: If you are new to this, open the Space and read the introduction first. This is a research project page, and it is not a clinical tool. If you know the field, the page is a React, TypeScript and Vite front end that reads public JSON snapshots exported from an optional FastAPI backend. The built files are compiled locally and uploaded to the Space root next to the source, so no hosted build runs. The notes warn against turning on a build command there, since hosted builds may cost account credits. ```flow Edit the content in backend/app/content.py Export the validated public JSON data Build the static front end Upload frontend/dist to the Space root ``` Good to know: The page links to resources and does not host them. - Scope: the page leaves the datasets where they are, stores no model weights and takes no patient uploads - Static hosting: nothing runs on a server, and no model, token or paid hardware is involved - Docker: a Docker Space may need a paid Hugging Face plan, and the published static Space does not use one - FastAPI mode: the full backend stays available as an option for future extensions - License: cc-by-nc-4, and the code's license restricts commercial use while the source publications keep their own licenses - Cost to run: none named for the static page, and Node.js 22.12 or newer for rebuilding - Data it reaches: public JSON snapshots, and exports never include environment variables or credentials - Not for: commercial use, because the code license forbids it ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: static - License: cc-by-nc-4.0 ## Links - Space: https://huggingface.co/spaces/PediaMedAI/MedCaseAgent - Files: https://huggingface.co/spaces/PediaMedAI/MedCaseAgent/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 6 KB, downloaded as a zip. ```text README.md 6 KB ``` ## Source [PediaMedAI/MedCaseAgent on Hugging Face](https://huggingface.co/spaces/PediaMedAI/MedCaseAgent) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | MedCaseAgent (this page) | 1 | static | cc-by-nc-4.0 | 2026-10-23 | | [Arena Leaderboard](https://mindket.com/p/613ca8f0-8146-4a48-87d6-43b8ee2ce3b6) | 5,039 | static | apache-2.0 | 2026-02-21 | | [Browser](https://mindket.com/p/d4e4cb47-8f53-4094-9a76-4fd29147a65b) | 533 | static | cc0-1.0 | 2026-10-18 | | [Model Pulse](https://mindket.com/p/017106fd-a3d1-4c20-944b-38f048d8b624) | 214 | static | apache-2.0 | 2026-11-04 | | [MTEB-BR Leaderboard](https://mindket.com/p/05f89589-d44c-4616-8efb-c50c9ba6ad94) | 126 | static | apache-2.0 | 2026-07-29 | | [Hub Stats](https://mindket.com/p/03d71953-8093-47a0-a444-c4f562d3071d) | 65 | static | apache-2.0 | 2026-11-12 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-10-23 - First published: 2026-09-30 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open PediaMedAI/MedCaseAgent on Hugging Face](https://huggingface.co/spaces/PediaMedAI/MedCaseAgent) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/5bd2ceee-f03c-48e6-b2cf-d90cc7cc19e5) - [Its page on Mindket](https://mindket.com/p/5bd2ceee-f03c-48e6-b2cf-d90cc7cc19e5)