Artificial Intelligence Medical Compendium

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

Showing 121 to 130 of 199,772 articles

A multi-layer airport security framework using YOLO-based X-ray detection, video anomaly analysis, IoT sensor monitoring and blockchain logging.

Scientific reports
Security screening systems require reliable and real-time detection of threats in complex X-ray imagery and surrounding environments. Manual inspection of baggage images is often a overhead due to operator fatigue, cluttered objects and overlapping i... read more 

Smart meter health state prediction based on residual-connected self-attention ConvLSTM network.

Scientific reports
Accurate health state prediction of smart meters is essential for ensuring metering reliability and enabling condition-based maintenance in advanced metering infrastructure. Existing approaches based on conventional machine learning or standard deep ... read more 

Advanced digital skills demands and priorities in wind energy sector.

Scientific reports
In a context of increasing digitalisation within the wind energy sector, the industry is facing a growing need for professionals with advanced digital skills, beyond traditional IT positions. As observed in other major transitions, educational instit... read more 

Deep learning-based Desikan-Killiany parcellation of the brain using diffusion MRI.

Scientific reports
Accurate brain parcellation in diffusion MRI (dMRI) space is essential for advanced neuroimaging analyses. However, most existing approaches rely on anatomical MRI for segmentation and inter-modality registration, a process that can introduce errors ... read more 

Cross-modal latent alignment enables efficient compression of wearable sEMG and accelerometer signals.

Scientific reports
Efficient compression of multimodal biosignals is critical for bandwidth-constrained wearable devices. Existing methods compress surface electromyography (sEMG) and accelerometer signals independently, ignoring their inherent coupling where muscle ac... read more 

Profiling of extracellular vesicles from primary hepatocytes, organoids, and mash patients identifies cell injury-specific signatures.

Scientific reports
Metabolic Dysfunction-Associated Steatohepatitis (MASH) is a severe form of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), traditionally diagnosed via invasive biopsy, underscoring the need for non-invasive alternatives. This study... read more 

River depths and widths dataset for the territory of Poland.

Scientific data
The accurate estimation of critical river parameters, specifically width and depth, via remote sensing and machine learning techniques requires high-quality, geographically dense reference datasets for reliable validation and training. This paper pre... read more 

Photonic Mixture-of-Experts for scalable multi-task on-chip optical neural networks.

Nature communications
Photonic computing offers an energy-efficient, high-bandwidth platform for artificial intelligence (AI) but currently faces scalability bottlenecks stemming from depth-dependent designs, linear optical structures, and intrinsic optical losses, along ... read more 

Data-driven concavity engineering for magnetic activation in rigid microspheres.

Nature communications
Concave architectures harness geometric curvature to amplify interfacial activity and local fields, presenting encouraging prospects for catalytic, optical, and electromagnetic applications. However, their controllable synthesis in rigid metals remai... read more 

How to quickly determine whether patients with chronic cough need corticosteroid treatment--construction of a predictive model for corticosteroid-responsive cough in chronic cough.

NPJ primary care respiratory medicine
Patients with chronic cough need to undergo a wide range of tests and rely on empirical medication to determine the underlying cause. Corticosteroid-responsive cough (CRC) accounts for the majority of the causes of chronic cough, and the diagnostic p... read more