TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models

Research article (Patterns, 2024) · cited 32× · AI/ML

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Summary

TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models is a scholarly article^[1].

Key Facts

TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models's instance of is recorded as scholarly article^[2].

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Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex

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Quick Facts

Instance of scholarly article

Publication date February 21, 2024

Properties

Published in Patterns

Sponsor United States National Institutes of Health

Title lang: en, text: TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models

External References (3)

Doi 10.1016/J.PATTER.2024.100933

Openalex id W4392005379

Pubmed publication id 38487800

🔗 Connections

Authored by 2

Jenna Kefeli, Nicholas P. Tatonetti

← Author of 2

Jenna Kefeli, Nicholas P. Tatonetti

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

[2] ↑ TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA

4ort.xyz Knowledge Graph. (2026). TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models. Retrieved October 20, 2026, from https://4ort.xyz/entity/tcga-reports-a-machine-readable-pathology-report-resource-for-benchmarking-text-based-ai-models

MLA

“TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/tcga-reports-a-machine-readable-pathology-report-resource-for-benchmarking-text-based-ai-models.

BibTeX

@misc{4ortxyz_tcga-reports-a-machine-readable-pathology-report-resource-for-benchmarking-text-based-ai-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models}}, year = {2026}, url = {https://4ort.xyz/entity/tcga-reports-a-machine-readable-pathology-report-resource-for-benchmarking-text-based-ai-models}, note = {Accessed: 2026-10-20}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models — https://4ort.xyz/entity/tcga-reports-a-machine-readable-pathology-report-resource-for-benchmarking-text-based-ai-models (retrieved 2026-10-20)

Canonical URL: https://4ort.xyz/entity/tcga-reports-a-machine-readable-pathology-report-resource-for-benchmarking-text-based-ai-models · Last refreshed: October 20, 2026