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.

Filter by task, data type, cancer, availability and regulatory status. Each card follows one model-card standard and links to Hugging Face, code, papers and the datasets it was trained or tested on. { } export JSON

Task Data type Cancer Clinical setting Availability Regulatory status Kind Search Sort × Clear filters

MedGemma 4B multimodal / 27B text

Google (Health AI Developer Foundations) · 2025

Foundation model Gated weights (licence click-through) Research use only

Open-weight medical vision-language models built on Gemma 3: the 4B variant reads chest X-rays, dermatology, ophthalmology and histopathology images alongside text; the 27B variant targets medical text reasoning. Meant as a starting point for developers to fine-tune, not as a finished clinical product.

Question answering Report generation Classification Information extraction Multimodal X-ray Histopathology (WSI)Dermoscopy Clinical text

Pan-cancer

🤗 1 105 085 downloads / month ♥ 1048 updated 2025-10-28 gated Hugging Face Paper 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.