Cancer3.AIAI in OncologyAI Models › Datasets

AI in Oncology · AI Models

A researcher-grade catalog of AI models, datasets and open data needs in oncology — every card structured, sourced and dated.

Datasets, registries and benchmarks you can train or evaluate oncology models on — with access conditions, licences, sizes, annotations and the models already using them. { } export JSON

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NLST — National Lung Screening Trial

NCI (Cancer Data Access System)
Dataset Controlled access NCI CDAS data-use agreement

The trial that established LDCT screening; its images plus outcomes trained Sybil and remain the only large public-by-application longitudinal LDCT cohort.

53 454 patients randomised trial of low-dose CT vs chest X-ray screening (2002–2009) with cancer and mortality follow-up; imaging available for a subset
Dataset site used by models: 1 Open card →

Cards follow the cancer3.ai model-card standard: AI_MODEL_CARD_STANDARD.md. Corrections and new entries: contact the editorial team; every fact needs a public source.

This page is educational — it is not medical advice and does not replace consultation with an oncologist. Diagnostic and treatment decisions are made solely by specialist physicians.