Artificial Intelligence Medical Compendium

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

Showing 21,461 to 21,470 of 216,348 articles

Quantum Kernels for Audio Deepfake Detection Using Spectrogram Patch Features

arXiv May 7, 2026
Quantum machine learning has emerged as a promising tool for pattern recognition, yet many audio-focused approaches still treat spectrograms as generic images and do not explicitly exploit their time-frequency structure. We propose Q-Patch, a quantum... read more 
Sound cs.AI

Domain Generalization through Spatial Relation Induction over Visual Primitives

arXiv May 7, 2026
Domain generalization requires identifying stable representations that support reliable classification across domains. Most existing methods seek such stability through improving the training process, for example, through model selection strategies, ... read more 
Computer Vision and Pattern Recognition

Fusion in Your Way: Aligning Image Fusion with Heterogeneous Demands via Direct Preference Optimization

arXiv May 7, 2026
As a key technique in multi-modal processing, infrared and visible image fusion (IVIF) plays a crucial role in integrating complementary spectral information for visual enhancement and downstream vision tasks. Despite remarkable progress, existing me... read more 
Computer Vision and Pattern Recognition

When Brain Networks Travel: Learning Beyond Site

arXiv May 7, 2026
Graph-based learning on functional magnetic resonance imaging (fMRI) has shown strong potential for brain network analysis. However, existing methods degrade under cross-site out-of-distribution (OOD) settings because site-conditioned confounders ind... read more 
Machine Learning

Towards Generation-Efficient Uncertainty Estimation in Large Language Models

arXiv May 7, 2026
Uncertainty estimation is important for deploying LLMs in high-stakes applications such as healthcare and finance, where hallucinations can appear fluent and plausible while being factually incorrect, making it difficult for users to judge whether an... read more 
Machine Learning

Correcting heterogeneous diagnostic bias when developing clinical prediction models using causal hidden Markov models

arXiv May 7, 2026
In routine care, individuals identified a priori as high-risk are usually tested for conditions more frequently. Protected attributes, such as sex or ethnicity may also determine testing frequency. Such heterogeneous detection rates across a populati... read more 
Applications cs.LG

Arena as Offline Reward: Efficient Fine-Grained Preference Optimization for Diffusion Models

arXiv May 7, 2026
Reinforcement learning from human feedback (RLHF) effectively promotes preference alignment of text-to-image (T2I) diffusion models. To improve computational efficiency, direct preference optimization (DPO), which avoids explicit reward modeling, has... read more 
Computer Vision and Pattern Recognition

MSD-Score: Multi-Scale Distributional Scoring for Reference-Free Image Caption Evaluation

arXiv May 7, 2026
Evaluating image captions without references remains challenging because global embedding similarity often misses fine-grained mismatches such as hallucinated objects, missing attributes, or incorrect relations. We propose MSD-Score, a reference-free... read more 
Computer Vision and Pattern Recognition

PoTAcc: A Pipeline for End-to-End Acceleration of Power-of-Two Quantized DNNs

arXiv May 7, 2026
Power-of-two (PoT) quantization significantly reduces the size of deep neural networks (DNNs) and replaces multiplications with bit-shift operations for inference. Prior work has shown that PoT-quantized DNNs can preserve accuracy for tasks such as i... read more 
Hardware Architecture cs.LG cs.PF

AMIEOD: Adaptive Multi-Experts Image Enhancement for Object Detection in Low-Illumination Scenes

arXiv May 7, 2026
In multimedia application scenarios, images captured under low-illumination conditions often lead to lower accuracy in visual perception tasks compared to those taken in well-lit environments. To tackle this challenge, we propose AMIEOD, an image e... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals