All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–6 of 6 filtered models
MELP
291617Multi-scale ECG-language pretraining model that aligns 12-lead ECG signals with clinical text at token, beat, and rhythm levels for zero-shot cardiac diagnosis.
BiosignalsLanguage model68OpennessHeartLang
5642—Self-supervised ECG foundation model that treats heartbeats as words and rhythms as sentences, using a QRS-Tokenizer and dual-level pretraining on MIMIC-IV-ECG.
Biosignals78OpennessECGFounder
12432128A 1D convolutional foundation model for electrocardiogram analysis, trained on over 10 million expert-annotated recordings across 150 diagnostic categories.
Biosignals75OpennessD-BETA
331323Singapore Management University +1 otherOctober 3, 2024autoencodercontrastive_learningecg_classification+6Contrastive masked ECG-text auto-encoder pretrained on paired electrocardiograms and clinical reports, enabling label-efficient and zero-shot cardiac diagnosis.
BiosignalsLanguage model27OpennessECG-JEPA
1510—A Vision-Transformer Joint-Embedding Predictive Architecture self-supervised on 1M+ ECG records, improving 12-lead ECG classification on PTB-XL.
Biosignals62OpennessHeartBEiT
25111—A BEiT vision transformer pretrained on 8.5M 12-lead ECG images via masked image modeling, excelling at low-data-regime cardiac diagnosis.
Biosignals30Openness