HeartcareGPT proposes Dual Stream Projection Alignment (DSPA) on a structure-aware tokenizer for unified ECG signal-image modeling, supported by Heartcare-400K dataset and Heartcare-Bench.
SuPreME: A supervised pre-training frame- work for multimodal ECG representation learning
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CardioThink applies structured clinical reasoning stages and Structured Set Policy Optimization (SSPO) to ECG classification, yielding higher diagnostic accuracy and more interpretable rationales than direct prediction baselines on multiple benchmarks.
ECG foundation models for signal interpretation and medical LLMs for reasoning can be integrated into agentic systems for real-time cardiovascular intelligence on edge devices.
citing papers explorer
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HeartcareGPT: A Unified Multimodal ECG Suite for Dual Signal-Image Modeling and Understanding
HeartcareGPT proposes Dual Stream Projection Alignment (DSPA) on a structure-aware tokenizer for unified ECG signal-image modeling, supported by Heartcare-400K dataset and Heartcare-Bench.
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Reasoning Before Diagnosis: Physician-Inspired Structured Thinking for ECG Classification
CardioThink applies structured clinical reasoning stages and Structured Set Policy Optimization (SSPO) to ECG classification, yielding higher diagnostic accuracy and more interpretable rationales than direct prediction baselines on multiple benchmarks.
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ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook
ECG foundation models for signal interpretation and medical LLMs for reasoning can be integrated into agentic systems for real-time cardiovascular intelligence on edge devices.