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From the 1 of 12 linked papers with an AI index.

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20242026
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12 papers

cs.AI2026

Separating Expert Retention from Autonomous Source Inference in Raw-ECG-Replay-Free Continual ECG Deployment

Yufan Lu, Xinhui Liu, Chenyang Xu +2

The paper proposes a replay‑free continual learning framework for multi‑source ECG classification that keeps a frozen pretrained backbone, adds a new linear expert for each incomin…

cs.LG2026

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification

Yi Zhao, Jiajun Gao, Chenyang Xu +2

Deploying deep learning models for automated electrocardiogram classification on resource-constrained wearable devices remains challenging due to high computational costs. To addre…

cs.LG2026

Masked Training for Robust Arrhythmia Detection from Digitalized Multiple Layout ECG Images

Shanwei Zhang, Deyun Zhang, Yirao Tao +9

Background: Electrocardiograms are indispensable for diagnosing cardiovascular diseases, yet in many settings they exist only as paper printouts stored in multiple recording layout…

cs.LG2026

Improving Fairness of Large Language Model-Based ICU Mortality Prediction via Case-Based Prompting

Gangxiong Zhang, Yongchao Long, Yuxi Zhou +2

Accurately predicting mortality risk in intensive care unit (ICU) patients is essential for clinical decision-making. Although large language models (LLMs) show strong potential in…

eess.SP2026

Holter-to-Sleep: AI-Enabled Repurposing of Single-Lead ECG for Sleep Phenotyping

Donglin Xie, Qingshuo Zhao, Jingyu Wang +9

Sleep disturbances are tightly linked to cardiovascular risk, yet polysomnography (PSG)-the clinical reference standard-remains resource-intensive and poorly suited for multi-night…

cs.AI2026

SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting

Shuhao Mei, Yongchao Long, Xiaoyu Xiao +6

Chronic Obstructive Pulmonary Disease (COPD), a major chronic respiratory disease with persistent airflow limitation, is a leading global cause of disability and mortality. Respira…