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

MedSAM

Bo Wang Lab, University of Toronto / University Health Network · 2024

Foundation model Open weights Research use only

Segment Anything adapted to medical images: a promptable segmentation model fine-tuned on over 1.5 million image–mask pairs across 10 imaging modalities and more than 30 cancer types.

Segmentation CT MRI Ultrasound Endoscopy Histopathology (WSI)X-ray Multimodal

Pan-cancer

🤗 3 637 downloads / month ♥ 24 updated 2023-05-03 Hugging Face GitHub 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.