Artificial Intelligence Medical Compendium

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

Showing 2,731 to 2,740 of 167,235 articles

Leveraging geographic information system for dengue surveillance: a scoping review.

Tropical medicine and health
BACKGROUND: Vector-borne diseases caused by Aedes mosquitoes remain a major public health concern across tropical and subtropical regions. Geographic Information Systems (GIS) have become integral in surveillance by enabling spatial analysis, risk ma... read more 

TreeRanker: Fast and Model-agnostic Ranking System for Code Suggestions in IDEs

arXiv
Token-level code completion is one of the most critical features in modern Integrated Development Environments (IDEs). It assists developers by suggesting relevant identifiers and APIs during coding. While completions are typically derived from sta... read more 

Enhancing Captive Welfare Management with Deep Learning: Video-Based Detection of Gibbon Behaviors Using YOWOvG.

Journal of applied animal welfare science : JAAWS
Accurate monitoring of animal behavior is critical for assessing welfare and informing conservation strategies for vulnerable species like the eastern hoolock gibbon (). To overcome limitations of manual observation and single-frame analysis in capti... read more 

Respiratory viral infections: when and where? A scoping review of spatiotemporal methods.

Journal of global health
BACKGROUND: Respiratory viral infections pose a substantial disease burden worldwide. Spatiotemporal techniques help identify transmission patterns of these infections, thereby supporting timely control and prevention efforts. We aimed to synthesise ... read more 

MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models

arXiv
Quantization significantly accelerates inference in large language models (LLMs) by replacing original high-precision matrices with low-precision counterparts. Recent advances in weight-activation quantization have primarily focused on mapping both... read more 

NAFLD progression in metabolic syndrome: a Raman spectroscopy and machine learning approach in an animal model.

The Analyst
Nonalcoholic fatty liver disease (NAFLD) is emerging as the leading cause of chronic liver disease in many regions, particularly in association with the rising prevalence of Metabolic syndrome (MetS), affecting more than 30% of the population worldwi... read more 

Optimizing FCN for devices with limited resources using quantization and sparsity enhancement.

Scientific reports
This study addresses the optimization of fully convolutional networks (FCNs) for deployment on resource-limited devices in real-time scenarios. While prior research has extensively applied quantization techniques to architectures like VGG-16, there i... read more 

VLM-CPL: Consensus Pseudo-Labels from Vision-Language Models for Annotation-Free Pathological Image Classification.

IEEE transactions on medical imaging
Classification of pathological images is the basis for automatic cancer diagnosis. Despite that deep learning methods have achieved remarkable performance, they heavily rely on labeled data, demanding extensive human annotation efforts. In this study... read more 

Prevalence, associated risk factors and satellite imagery analysis in predicting soil-transmitted helminth infection in Nakhon Si Thammarat Province, Thailand.

Scientific reports
Soil-transmitted helminth (STH) infections remain a significant public health concern in rural areas, often leading to nutritional and physical impairment, particularly in children. This study aimed to assess the prevalence and associated factors of ... read more 

An Event-based Fast Intensity Reconstruction Scheme for UAV Real-time Perception

arXiv
Event cameras offer significant advantages, including a wide dynamic range, high temporal resolution, and immunity to motion blur, making them highly promising for addressing challenging visual conditions. Extracting and utilizing effective informa... read more