Artificial Intelligence Medical Compendium

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

Showing 5,731 to 5,740 of 205,623 articles

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 

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 

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 

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 

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 

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 

An explainable meta-learned hybrid CNN-transformer model with dual attention for leukemia diagnosis from peripheral blood smears.

Scientific reports
Acute Lymphoblastic Leukemia (ALL) is one of the most aggressive hematological malignancies, and its early diagnosis remains challenging due to non-specific clinical symptoms and reliance on invasive procedures such as bone marrow biopsies. To addres... read more 

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 

Machine learning-driven prediction of mechanical properties of lightweight concrete based on experimental data.

Scientific reports
Lightweight concrete (LWC) is increasingly used in structural and non-structural applications due to its ability to reduce self-weight while maintaining adequate mechanical performance. However, predicting the mechanical behavior of EPS-based lightwe... read more 

Quantitative measurement of agonistic behaviors of intra- and interspecifics of Gryllus bimaculatus and Acheta domesticus by using DeepLabCut.

Scientific reports
Animal social behavior, such as agonistic behavior, has been extensively studied for a long time since it is one of the key factors that influence the survivability and reproductive success in many animals, including crickets. Gryllus bimaculatus, a ... read more