Artificial Intelligence Medical Compendium

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

Showing 33,451 to 33,460 of 221,422 articles

Oxide interface-based polymorphic electronic devices for neuromorphic computing.

Nature communications
Aside from recent advances in artificial intelligence (AI) models, specialized AI hardware is crucial for addressing large volumes of unstructured and dynamic data. Conventional complementary metal-oxide-semiconductor (CMOS)-based AI hardware faces s... read more 

PhysioMotion Artifact: A task-driven EEG dataset with point-wise motion artifact annotations.

Scientific data
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 

Identification and validation of KLRB1-related biomarkers in rheumatoid arthritis.

Scientific reports
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
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
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
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
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
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