IEEE journal of biomedical and health informatics
Jan 22, 2026
The scarcity of high-quality surface electromyography (sEMG) data, caused by ethical constraints, privacy concerns, and noise interference, poses significant challenges for developing robust deep learning models in sEMG analysis. Multi-channel sEMG s... read more
IEEE transactions on biomedical circuits and systems
Jan 22, 2026
The detection of arrhythmias is crucial in monitoring cardiac health. However, electrocardiogram (ECG) signals obtained from wearable devices are often compromised by noise, including electrode motion artifacts, baseline wander, and muscle artifacts.... read more
IEEE transactions on bio-medical engineering
Jan 22, 2026
Electrocardiograms (ECGs) play a crucial role in diagnosing heart conditions; however, the effectiveness of artificial intelligence (AI)-based ECG analysis is often hindered by the limited availability of labeled data. Self-supervised learning (SSL) ... read more
Generative coding tools promise big productivity gains, but uneven uptake could widen skill and income gaps. We train a neural classifier to spot artificial intelligence (AI)-generated Python functions in more than 30 million GitHub commits by 160,09... read more
Interactive journal of medical research
Jan 22, 2026
BACKGROUND: Postacute care (PAC) services are important to ensure functional recovery and provide adequate care for geriatric inpatients in acute care. The choice between different PAC options can be challenging, and predictors for the most appropria... read more
BACKGROUND: Artificial intelligence-enhanced imaging techniques have demonstrated promising diagnostic potential for carotid plaques, a key cardiovascular and cerebrovascular risk factor. However, previous studies did not systematically synthesize th... read more
Journal of chemical information and modeling
Jan 22, 2026
The pKa value of a protein-ionizable residue reflects its potency to donate a proton at a given pH value, which is essential for understanding a wide range of biological activity. Therefore, the accurate prediction of pKa values of protein residues i... read more
BACKGROUND: Deep learning models have shown strong potential for automated fracture detection in medical images. However, their robustness under varying image quality remains uncertain, particularly for small and subtle fractures, such as scaphoid fr... read more
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