Artificial Intelligence Medical Compendium

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

Showing 2,201 to 2,210 of 166,891 articles

LRDDv2: Enhanced Long-Range Drone Detection Dataset with Range Information and Comprehensive Real-World Challenges

arXiv
The exponential growth in Unmanned Aerial Vehicles (UAVs) usage underscores the critical need of detecting them at extended distances to ensure safe operations, especially in densely populated areas. Despite the tremendous advances made in computer... read more 

Camera-Based Photoplethysmography for Measuring Heartbeat Intervals During General Anesthesia.

Anesthesia and analgesia
BACKGROUND: Photoplethysmography has been used to assess vital signs since the late 19th century. Recently, camera-based photoplethysmography systems have gained attention due to their noninvasive nature. However, challenges such as low perfusion, mo... read more 

Analysis of risk factors for DUI and DWI crashes considering the built environment.

International journal of injury control and safety promotion
The risk level of alcohol-involved traffic crashes is closely related to alcohol consumption. However, research on different influencing factors for DUI (Driving Under Influence) and DWI (Driving While Intoxicated) remains limited. This study analyze... read more 

Landsat30-AU: A Vision-Language Dataset for Australian Landsat Imagery

arXiv
Vision language models (VLMs) that enable natural language interaction with satellite imagery can democratize Earth observation by accelerating expert workflows, making data accessible to non-specialists, and enabling planet-scale automation. Howev... read more 

Brain tumor segmentation by optimizing deep learning U-Net model.

Technology and health care : official journal of the European Society for Engineering and Medicine
BackgroundMagnetic Resonance Imaging (MRI) is a cornerstone in diagnosing brain tumors. However, the complex nature of these tumors makes accurate segmentation in MRI images a demanding task.ObjectiveAccurate brain tumor segmentation remains a critic... read more 

Short-term rainfall prediction based on radar echo using an efficient spatio-temporal recurrent unit.

Scientific reports
Accurate short-term precipitation prediction is critical for agricultural production, transportation safety, and water resource management. In this paper, we propose an Efficient Spatio-Temporal Recurrent Unit (ESTRU) for short-term precipitation pre... read more 

COFFEE: A Shadow-Resilient Real-Time Pose Estimator for Unknown Tumbling Asteroids using Sparse Neural Networks

arXiv
The accurate state estimation of unknown bodies in space is a critical challenge with applications ranging from the tracking of space debris to the shape estimation of small bodies. A necessary enabler to this capability is to find and track featur... read more 

Scalable and lightweight deep learning for efficient high accuracy single-molecule localization microscopy.

Nature communications
Deep learning has significantly improved the performance of single-molecule localization microscopy (SMLM), but many existing methods remain computationally intensive, limiting their applicability in high-throughput settings. To address these challen... read more 

Daily insider threat detection with hybrid TCN transformer architecture.

Scientific reports
Internal threats are becoming more common in today's cybersecurity landscape. This is mainly because internal personnel often have privileged access, which can be exploited for malicious purposes. Traditional detection methods frequently fail due to ... read more 

Explore the potential mechanism of Huachansu injection against osteosarcoma via metabolomics, network pharmacology and bioinformatics.

Chinese medicine
AIM: Huachansu injection (HCSI) shows effective medicinal functions against osteosarcoma. This study aimed to reveal the underlying mechanisms of HCSI against osteosarcoma by integrating metabolomics, network pharmacology and bioinformatics. read more