medpromptjs
importedsoftware/medpromptjs
MedpromptJS: Base classes for easy GenAI app development and reference implementation of LLM-in-the-Loop CQL on unstructured data.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/dermatologist/medpromptjs
- Documentation
- unknown
- Tags
- emr · healthcare · langchain-js · large-language-models · medical · summarization
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- caves-datasummarization
CAVES-dataset accepted at SIGIR'22
- EMRemr · medical
“EMR” is a platform built using leading edge web technologies and API’s to help Doctors/ Patient/ Hospitals/ Pharmacies to better deal with medical documentation.
- OpenHIMS2-coreemr · medical
OpenHIMS2 API and web application code - A free, open-source Health Information Management System built with Laravel 10 and MySQL. Designed for multi-clinic hospital networks, it supports patient…
- tschartsemr · medical
Django REST framework-based Digital Patient Registration and EMR backend
- vertical-medicalemr · medical
Open Source Healthcare System for Odoo
- ReportQLhealthcare · large-language-models
Code and dataset for paper - Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique
- api.github.com/repos/dermatologist/medpromptjsretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-04-28, 3 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/12.json→ .entries["medpromptjs"]
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