Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 33,161 to 33,170 of 221,227 articles
PhysioMotion Artifact: A task-driven EEG dataset with point-wise motion artifact annotations.
Scientific data
Apr 9, 2026
Physiological artifacts pose persistent challenges in electroencephalogram (EEG) data acquisition, often compromising interpretation and post-analysis of EEG signals across research and clinical applications. To address such limitations, including va... read more
Estimation of onion crop evapotranspiration and crop coefficients using weighing lysimeters and machine learning models in semi-arid region.
Scientific reports
Apr 9, 2026
Identification and validation of KLRB1-related biomarkers in rheumatoid arthritis.
Scientific reports
Apr 9, 2026
BACKGROUND: Rheumatoid arthritis (RA) is a systemic autoimmune inflammatory disorder. KLRB1 (killer cell lectin like receptor B1), which is intricately linked to immune modulation and inflammatory responses, represents a promising biomarker for the i... read more
High-precision automated grading of flue-cured tobacco leaves based on hierarchical feature fusion.
Scientific reports
Apr 9, 2026
Accurate grading of flue-cured tobacco leaves is crucial for tobacco quality control and industrial applications. However, traditional manual grading is subjective, inefficient, and labor-intensive, while existing deep learning-based methods often fa... read more
Enabling ankle-brachial index prediction from doppler sounds using deep learning.
NPJ cardiovascular health
Apr 9, 2026
The ability to perform accurate point-of-care assessment of limb perfusion is critical for safe clinical decision-making. A formal ankle-brachial index (ABI) is typically required prior to supervised exercise therapy (SET) for peripheral arterial dis... read more
K-STAMM: a knowledge-enhanced spatial - temporal attention model with multimodal fusion for pneumonia prediction.
Scientific reports
Apr 9, 2026
Precise prediction of pneumonia remains a challenge mainly because effective integration of clinical data that are highly heterogeneous is mandatory. The types of clinical data in question include longitudinal electronic health records (EHRs), medica... read more
Enhanced glucose forecasting using recurrent neural network and advanced feature engineering.
Scientific reports
Apr 9, 2026
The aim of this study is to develop an artificial intelligence (AI)-driven pipeline for forecasting blood glucose levels to mitigate risks associated with hypoglycemia and hyperglycemia. The main research question focuses on the effectiveness of hybr... read more
Study on mmage defect recognition and classification of power transmission equipment based on lightweight model residual Mamba.
Scientific reports
Apr 9, 2026
Image defect detection of power transmission and transformation equipment is a key technology in the operation and maintenance of power systems, which is of vital importance for ensuring the safe and stable operation of the power grid and enhancing i... read more
Explainable hybrid machine learning model for predicting stunting and identifying key risk factors among Ethiopian children under five.
Scientific reports
Apr 9, 2026
Multi-facility virtual diagnostic for longitudinal phase space predictions.
Scientific reports
Apr 9, 2026
A thorough understanding of the longitudinal phase space (LPS) of the electron beam is of great advantage to any modern linear accelerator (linac), and of critical importance for operating a free electron laser (FEL). While a transverse deflecting st... read more
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