Artificial Intelligence Medical Compendium

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

Showing 37,901 to 37,910 of 223,469 articles

A dataset of insect sounds from 459 species for bioacoustic machine learning.

Scientific data Mar 27, 2026
Automatic recognition of insect sound could help us understand changing biodiversity trends around the world-but insect sounds are challenging to recognize even for deep learning, due to the broad frequency ranges and limited amount of training data.... read more 

A unified deep learning framework integrating OpenStreetMap for multi-domain urban planning tasks.

Scientific reports Mar 27, 2026
Urban planning increasingly requires multi-source geospatial intelligence to address the complexity of modern cities. This study introduces a unified deep learning framework integrating OpenStreetMap (OSM) data with multispectral satellite imagery an... read more 

A systematic assessment of regional landslide risk under typhoon rainfall: a case study of Taishun, Zhejiang, China in September 2016.

Scientific reports Mar 27, 2026
To clarify the occurrence patterns and risk characteristics of typhoon-induced rainfall landslides, this study assessed landslide susceptibility in Taishun County, Zhejiang Province, and surrounding areas affected by Typhoon Meranti in September 2016... read more 

High-Resolution Colony Images of Clinically Isolated Bacteria for Automated Detection and Deep Learning.

Scientific data Mar 27, 2026
The observation and analysis of colonies on solid media are key steps in microbiological research. However, traditional manual interpretation methods are inefficient when handling large-scale samples and are prone to subjective bias, making it diffic... read more 

Cluster Haptic Texture Dataset: Haptic Texture Dataset with Varied Velocity-Direction Sliding Contacts.

Scientific data Mar 27, 2026
Haptic sciences and technologies benefit greatly from comprehensive datasets that capture tactile stimuli under controlled, systematic conditions. However, existing haptic datasets collect data through uncontrolled exploration, which hinders the syst... read more 

AI-driven body composition atlas reveals its association with NSCLC immunotherapy outcome and molecular background: a multicenter study.

NPJ precision oncology Mar 27, 2026
Although previous studies have linked body composition to immunotherapy efficacy, comprehensive multidimensional analyses with biological explanations remain lacking. This study integrated eight independent cohorts comprising 2,132 non-small cell lun... read more 

Low-data cross-modal adaptation for remote sensing with proxy-enhanced multi-granularity feature caching.

Scientific reports Mar 27, 2026
Despite the potential of vision-language models for open-vocabulary recognition, their deployment in remote sensing is limited by the limited effectiveness of generic prompts, the scarcity of annotated datasets, and insufficient domain-specific featu... read more 

Integrating metabolomics and machine learning with in silico analysis to identify early biomarkers and molecular interactions in sepsis-associated acute kidney injury.

Scientific reports Mar 27, 2026
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Enhancing credit card fraud detection with a hybrid approach using machine and deep learning.

Scientific reports Mar 27, 2026
Credit card fraud is an important concern for banks, financial institutions and consumers, resulting in substantial financial losses annually. Traditional fraud detection systems are based on predefined rules, but as fraudsters develop more sophistic... read more 

Personalized mapping of body homeostasis using whole-body PET connectomics and routine FDG PET imaging.

Communications medicine Mar 27, 2026
BACKGROUND: Immuno-inflammation and systemic alterations are key features of chronic diseases. While PET molecular imaging is widely used in precision medicine, conventional analyses are lesion-centric, focusing on detection, localization, and quanti... read more 
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