clinical-self-verification
importedsoftware/clinical-self-verification
Self-verification for LLMs.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- microsoft
- Country
- unknown
- Homepage
- arxiv.org/abs/2306.00024
- Documentation
- unknown
- Tags
- artificial-intelligence · ehr · information-extraction · interpretability · large-language-models · llm · llm-chain · machine-learning
- 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.
- MentalLLaMAinterpretability · large-language-models
This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.
- Multimodal_Transformerehr · interpretability
A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hospital Mortality Prediction
- mLLMCelltypelarge-language-models · llm
Cell type annotation for single-cell RNA-seq using multi-LLM consensus
- Odin-Tabsartificial-intelligence · large-language-models
The Odin Tabs extension is a browser extension that allows you to navigate through your browser tabs using speech recognition and the Large Language Model (LLM) of your choice.
- EliIEinformation-extraction
An information extraction system for free-text eligibility criteria
- PICO_Parserinformation-extraction
A clinical BERT-based NLP tool for parsing clinical trial abstracts following the PICO framework
- api.github.com/repos/microsoft/clinical-self-verificationretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-07-22, 67 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/23.json→ .entries["clinical-self-verification"]
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