All Competitors

Every biological foundation model, evaluated and ranked by the bio.rodeo team

Showing 1–4 of 4 filtered models

  • GEM (Grounded ECG understanding with Multimodal LLM)

    19141304
    National University of Singapore +1 otherMarch 8, 2025cardiologyclinical_reasoningdiagnosis_grounding+7

    Multimodal LLM unifying 12-lead ECG time series, ECG images, and text for grounded, clinician-aligned electrocardiogram interpretation.

    BiosignalsLanguage model
    79Openness

  • ECG-LM

    —42—
    Tsinghua University +1 otherFebruary 4, 2025cardiologycardiovascular_disease_detectioncnn+6

    Multimodal ECG language model pairing a specialized signal encoder with a biomedical LLM for cardiovascular disease detection and question answering.

    BiosignalsLanguage model
    24Openness

  • PULSE

    67301.9K
    The Ohio State University +1 otherOctober 21, 2024cardiologyecgecg_interpretation+6

    Multimodal large language model that interprets 12-lead electrocardiogram images, answering open-ended clinical questions and generating ECG reports.

    BiosignalsImaging
    84Openness

  • ECG-FM

    30096—
    University of Toronto +1 otherAugust 9, 2024cardiologycontrastive_learningdisease_classification+6

    Open transformer foundation model for 12-lead electrocardiograms, pretrained on 1.5 million unlabeled ECGs with a wav2vec 2.0 self-supervised recipe.

    Biosignals
    67Openness