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

Data type Task Cancer Access Kind Search × Clear filters

ClinicalTrials.gov

US National Library of Medicine

Registry / portal Open download public domain

The registry that trial-matching systems such as TrialGPT retrieve from; oncology is its largest therapeutic area.

500 000 registered studies structured eligibility criteria, arms, outcomes and results; full API

Clinical text Clinical-trial matching Information extraction JSONCSV

Pan-cancer

Dataset site used by models: 1 Open card →

MedQA (USMLE)

Jin et al. (Columbia University)

Benchmark / challenge Open download MIT

The exam-style benchmark on which Med-PaLM 2, GPT-4 and MedGemma report headline accuracy; useful for comparing models, not for judging clinical safety.

12 723 questions (English) multiple-choice medical licensing exam questions; also Mandarin and Traditional Chinese subsets

Clinical text Question answering JSON

Pan-cancer

Dataset site used by models: 2 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.