All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–10 of 10 filtered models
CLEF
473—A clinically-guided contrastive foundation model for single-lead ECG analysis, pretrained on 12-lead recordings from 161K patients using SCORE2 risk to weight pairs.
Biosignals62OpennessMELP
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.
Biosignals78OpennessECG-LM
—33—A multimodal LLM that aligns a specialized ECG signal encoder with BioMedGPT-LM-7B for cardiovascular disease detection and ECG question answering.
BiosignalsLanguage model24OpennessECGFM-KED
4241—A knowledge-enhanced ECG foundation model that pairs a ResNet signal encoder with LLM-derived diagnostic knowledge for zero- and few-shot electrocardiogram interpretation.
Biosignals30OpennessAnyECG
45—Zhejiang University +3 othersNovember 17, 2024anomaly_detectionarrhythmia_classificationelectrocardiogram+6A two-stage pretrained ECG foundation model that learns discrete rhythm tokens for robust multitask cardiac analysis on noisy, real-world electrocardiograms.
Biosignals10OpennessECGFounder
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