Artificial Intelligence Medical Compendium

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

Showing 51,381 to 51,390 of 225,182 articles

Towards Affordable, Non-Invasive Real-Time Hypoglycemia Detection Using Wearable Sensor Signals

arXiv Feb 11, 2026
Accurately detecting hypoglycemia without invasive glucose sensors remains a critical challenge in diabetes management, particularly in regions where continuous glucose monitoring (CGM) is prohibitively expensive or clinically inaccessible. This exte... read more 
Human-Computer Interaction cs.LG

HII-DPO: Eliminate Hallucination via Accurate Hallucination-Inducing Counterfactual Images

arXiv Feb 11, 2026
Large Vision-Language Models (VLMs) have achieved remarkable success across diverse multimodal tasks but remain vulnerable to hallucinations rooted in inherent language bias. Despite recent progress, existing hallucination mitigation methods often ov... read more 
Computer Vision and Pattern Recognition

The Garbage Dataset (GD): A Multi-Class Image Benchmark for Automated Waste Segregation

arXiv Feb 11, 2026
This study introduces the Garbage Dataset (GD), a publicly available image dataset designed to advance automated waste segregation through machine learning and computer vision. It's a diverse dataset covering 10 common household waste categories: met... read more 
Computer Vision and Pattern Recognition

Med-SegLens: Latent-Level Model Diffing for Interpretable Medical Image Segmentation

arXiv Feb 11, 2026
Modern segmentation models achieve strong predictive performance but remain largely opaque, limiting our ability to diagnose failures, understand dataset shift, or intervene in a principled manner. We introduce Med-SegLens, a model-diffing framework ... read more 
Computer Vision and Pattern Recognition

1%>100%: High-Efficiency Visual Adapter with Complex Linear Projection Optimization

arXiv Feb 11, 2026
Deploying vision foundation models typically relies on efficient adaptation strategies, whereas conventional full fine-tuning suffers from prohibitive costs and low efficiency. While delta-tuning has proven effective in boosting the performance and e... read more 
Computer Vision and Pattern Recognition cs.AI

What Makes Value Learning Efficient in Residual Reinforcement Learning?

arXiv Feb 11, 2026
Residual reinforcement learning (RL) enables stable online refinement of expressive pretrained policies by freezing the base and learning only bounded corrections. However, value learning in residual RL poses unique challenges that remain poorly unde... read more 
Machine Learning

Bridging the Compression-Precision Paradox: A Hybrid Architecture for Clinical EEG Report Generation with Guaranteed Measurement Accuracy

arXiv Feb 11, 2026
Automated EEG monitoring requires clinician-level precision for seizure detection and reporting. Clinical EEG recordings exceed LLM context windows, requiring extreme compression (400:1+ ratios) that destroys fine-grained temporal precision. A 0.5 Hz... read more 
Machine Learning math.NA

RealHD: A High-Quality Dataset for Robust Detection of State-of-the-Art AI-Generated Images

arXiv Feb 11, 2026
The rapid advancement of generative AI has raised concerns about the authenticity of digital images, as highly realistic fake images can now be generated at low cost, potentially increasing societal risks. In response, several datasets have been esta... read more 
Computer Vision and Pattern Recognition cs.AI

C^2ROPE: Causal Continuous Rotary Positional Encoding for 3D Large Multimodal-Models Reasoning

arXiv Feb 11, 2026
Recent advances in 3D Large Multimodal Models (LMMs) built on Large Language Models (LLMs) have established the alignment of 3D visual features with LLM representations as the dominant paradigm. However, the inherited Rotary Position Embedding (RoPE)... read more 
Computer Vision and Pattern Recognition cs.AI

Contrastive Learning for Multi Label ECG Classification with Jaccard Score Based Sigmoid Loss

arXiv Feb 11, 2026
Recent advances in large language models (LLMs) have enabled the development of multimodal medical AI. While models such as MedGemini achieve high accuracy on VQA tasks like USMLE MM, their performance on ECG based tasks remains limited, and some mod... read more 
Machine Learning cs.AI
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