Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 59,091 to 59,100 of 227,876 articles

A Conditional GAN-based Framework for Sparse sEMG Data Augmentation with Muscle Synergy Prior Constraints.

IEEE journal of biomedical and health informatics
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 

A 1.69µJ Highly Robust Cardiac Arrhythmia Monitoring Processor with Triple-Adaptive QRS Detector and Medically Driven Feature-Fusion Hybrid Neural Networks.

IEEE transactions on biomedical circuits and systems
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 

Domain Knowledge is Power: Leveraging Physiological Priors for Self-Supervised Representation Learning in Electrocardiography.

IEEE transactions on bio-medical engineering
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 

Who is using AI to code? Global diffusion and impact of generative AI.

Science (New York, N.Y.)
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 

AI has helped scientists-but may have hurt science.

Science (New York, N.Y.)
Analysis finds that AI both expands individual impact and narrows collective scientific exploration. read more 

How malicious AI swarms can threaten democracy.

Science (New York, N.Y.)
The fusion of agentic AI and LLMs marks a new frontier in information warfare. read more 

Identifying Key Predictors of Appropriate Discharge Destinations for Older Inpatients in Acute Care: Scoping Review.

Interactive journal of medical research
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 

Diagnostic Performance of Deep Learning and Radiomics in Extracranial Carotid Plaque Detection: Systematic Review and Meta-Analysis.

Journal of medical Internet research
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 

Graph-Based Deep Learning Models for Predicting pKa Values of Protein-Ionizable Residues via Physically Inspired Feature Engineering.

Journal of chemical information and modeling
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 

Effects of Image Degradation on Deep Neural Network Classification of Scaphoid Fracture Radiographs: Comparison Study of Different Noise Types.

JMIR medical informatics
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