PulseAugur
实时 13:23:42

PEACE framework improves pediatric ECG diagnosis using adult data and Gemini

Researchers have developed PEACE, a novel framework for aligning adult and pediatric electrocardiogram (ECG) data to improve diagnostic accuracy in children. This approach utilizes cross-modal enhancement, integrating clinical semantic decomposition and label-query feature extraction to bridge the gap caused by scarce pediatric data. The system leverages Gemini to generate auxiliary training supervision from clinical prompts, enabling robust ECG transfer even in low-resource scenarios. PEACE demonstrates significant performance improvements on pediatric ECG datasets, though further validation is needed for clinical deployment. AI

影响 Enhances AI's capability in specialized medical diagnostics, particularly for pediatric cases with limited data.

排序理由 This is a research paper detailing a new framework for ECG analysis.

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

PEACE framework improves pediatric ECG diagnosis using adult data and Gemini

报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Xinran Liu, Yuwen Li, Hongxiang Gao, Heyang Xu, Jianqing Li, Zongmin Wang, Chengyu Liu ·

    PEACE: Cross-modal Enhanced Pediatric-Adult ECG Alignment for Robust Pediatric Diagnosis

    arXiv:2605.00647v1 Announce Type: new Abstract: Automated pediatric electrocardiogram (ECG) diagnosis remains challenging because models trained predominantly on adult data suffer from substantial cross-population mismatch, while pediatric labels are often scarce. We present PEAC…

  2. arXiv cs.LG TIER_1 English(EN) · Chengyu Liu ·

    PEACE: Cross-modal Enhanced Pediatric-Adult ECG Alignment for Robust Pediatric Diagnosis

    Automated pediatric electrocardiogram (ECG) diagnosis remains challenging because models trained predominantly on adult data suffer from substantial cross-population mismatch, while pediatric labels are often scarce. We present PEACE (Pediatric-Adult ECG Alignment via Cross-modal…