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ReportQL

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data/reportql

Code and dataset for paper - Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
annotation · dataset · deep-learning · healthcare · huggingface · huggingface-transformer · large-language-models · llm
Regulatory
unknown
built by · 2

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similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    A multi agent healthcare assistant system implemented using Python and Langgraph. The agents include icd10 code extractor, SOAP document generator and medical image report generator. This project…

  • clinical-self-verificationlarge-language-models · llm

    Self-verification for LLMs.

  • mLLMCelltypelarge-language-models · llm

    Cell type annotation for single-cell RNA-seq using multi-LLM consensus

  • CPsyCoundataset · llm

    [ACL 2024] CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling

sources
  1. api.github.com/repos/alimoezzi/ReportQL
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-04-17, 11 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 →

machine-readable

/v1/entries/38.json→ .entries["reportql"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.