Artificial Intelligence Medical Compendium

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

Showing 52,551 to 52,560 of 225,341 articles

The CAPSARII Approach to Cyber-Secure Wearable, Ultra-Low-Power Networked Sensors for Soldier Health Monitoring

arXiv Feb 8, 2026
The European Defence Agency's revised Capability Development Plan (CDP) identifies as a priority improving ground combat capabilities by enhancing soldiers' equipment for better protection. The CAPSARII project proposes in innovative wearable system ... read more 
Emerging Technologies cs.DC cs.LG

MMLSv2: A Multimodal Dataset for Martian Landslide Detection in Remote Sensing Imagery

arXiv Feb 8, 2026
We present MMLSv2, a dataset for landslide segmentation on Martian surfaces. MMLSv2 consists of multimodal imagery with seven bands: RGB, digital elevation model, slope, thermal inertia, and grayscale channels. MMLSv2 comprises 664 images distributed... read more 
Computer Vision and Pattern Recognition cs.LG

Building Damage Detection using Satellite Images and Patch-Based Transformer Methods

arXiv Feb 8, 2026
Rapid building damage assessment is critical for post-disaster response. Damage classification models built on satellite imagery provide a scalable means of obtaining situational awareness. However, label noise and severe class imbalance in satellite... read more 
Computer Vision and Pattern Recognition

Online Bayesian Imbalanced Learning with Bregman-Calibrated Deep Networks

arXiv Feb 8, 2026
Class imbalance remains a fundamental challenge in machine learning, where standard classifiers exhibit severe performance degradation in minority classes. Although existing approaches address imbalance through resampling or cost-sensitive learning d... read more 
Machine Learning cs.CL

Robustness of Vision Language Models Against Split-Image Harmful Input Attacks

arXiv Feb 8, 2026
Vision-Language Models (VLMs) are now a core part of modern AI. Recent work proposed several visual jailbreak attacks using single/ holistic images. However, contemporary VLMs demonstrate strong robustness against such attacks due to extensive safety... read more 
Computer Vision and Pattern Recognition cs.AI

Which bot is best? Accuracy and readability of generative artificial intelligence assistant responses on adrenal nodules.

American journal of surgery Feb 8, 2026
INTRODUCTION: Patients increasingly use generative artificial intelligence assistants (chatbots) for medical information. We examined surgeon-perceived accuracy, reliability, and readability of chatbot responses to adrenal nodule queries. METHODS: Si... read more 

Identification of roasting degree and interpretability analysis of Yunnan arabica coffee beans based on multi-dimensional visual features and CNNs-SHAP.

Food chemistry Feb 8, 2026
This study extracted Yunnan Arabica coffee bean features through weighted fusion of CIE L*a*b* color histograms, Gray-level Co-occurrence Matrix-Local Binary Pattern composite textures, and morphological parameters, aiming to achieve accurate roastin... read more 

Intelligent storage year identification of Anhua dark tea via carbon quantum dots-based colorimetric sensor array and computer vision.

Food chemistry Feb 8, 2026
Aging significantly influences Anhua dark tea's quality and value, but rapid year identification remains challenging. This study developed a colorimetric sensor array (CSA) combined with deep learning for the rapid identification of storage years of ... read more 

Earthquake-generated construction and demolition waste recovery using hyperspectral imaging aided by shallow neural networks technique.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 8, 2026
Construction and demolition waste (C&DW) accounts for nearly one-third of total waste generation in the European Union, representing a significant environmental challenge. Although recovery rates are high (∼89%), much of the recycled material is down... read more 

UriPred: Machine learning prediction of urinary proteins and identification of biomarkers for liver cancer.

Computational biology and chemistry Feb 8, 2026
Urinary proteins are promising non-invasive biomarkers, but their low abundance and wide dynamic range make detection challenging. This study presents UriPred, a computational tool that integrates machine learning (ML), BLAST, and Motif-EmeRging and ... read more 
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