Artificial Intelligence Medical Compendium

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

Showing 55,811 to 55,820 of 226,731 articles

Robust Machine Learning Framework for Reliable Discovery of High-Performance Half-Heusler Thermoelectrics

arXiv Feb 1, 2026
Machine learning (ML) can facilitate efficient thermoelectric (TE) material discovery essential to address the environmental crisis. However, ML models often suffer from poor experimental generalizability despite high metrics. This study presents a r... read more 
Materials Science cs.LG

Improving Robustness of Vision-Language-Action Models by Restoring Corrupted Visual Inputs

arXiv Feb 1, 2026
Vision-Language-Action (VLA) models have emerged as a dominant paradigm for generalist robotic manipulation, unifying perception and control within a single end-to-end architecture. However, despite their success in controlled environments, reliable ... read more 
Computer Vision and Pattern Recognition cs.RO

Semantically Aware UAV Landing Site Assessment from Remote Sensing Imagery via Multimodal Large Language Models

arXiv Feb 1, 2026
Safe UAV emergency landing requires more than just identifying flat terrain; it demands understanding complex semantic risks (e.g., crowds, temporary structures) invisible to traditional geometric sensors. In this paper, we propose a novel framework ... read more 
Computer Vision and Pattern Recognition cs.AI

EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment

arXiv Feb 1, 2026
Understanding the multi-dimensional attributes and intensity nuances of image-evoked emotions is pivotal for advancing machine empathy and empowering diverse human-computer interaction applications. However, existing models are still limited to coars... read more 
Computer Vision and Pattern Recognition

Bridging Lexical Ambiguity and Vision: A Mini Review on Visual Word Sense Disambiguation

arXiv Feb 1, 2026
This paper offers a mini review of Visual Word Sense Disambiguation (VWSD), which is a multimodal extension of traditional Word Sense Disambiguation (WSD). VWSD helps tackle lexical ambiguity in vision-language tasks. While conventional WSD depends o... read more 
Computation and Language cs.CV

Med3D-R1: Incentivizing Clinical Reasoning in 3D Medical Vision-Language Models for Abnormality Diagnosis

arXiv Feb 1, 2026
Developing 3D vision-language models with robust clinical reasoning remains a challenge due to the inherent complexity of volumetric medical imaging, the tendency of models to overfit superficial report patterns, and the lack of interpretability-awar... read more 
Computer Vision and Pattern Recognition

Toward Interpretable and Generalizable AI in Regulatory Genomics

arXiv Feb 1, 2026
Deciphering how DNA sequence encodes gene regulation remains a central challenge in biology. Advances in machine learning and functional genomics have enabled sequence-to-function (seq2func) models that predict molecular regulatory readouts directly ... read more 
Genomics

Q-DiT4SR: Exploration of Detail-Preserving Diffusion Transformer Quantization for Real-World Image Super-Resolution

arXiv Feb 1, 2026
Recently, Diffusion Transformers (DiTs) have emerged in Real-World Image Super-Resolution (Real-ISR) to generate high-quality textures, yet their heavy inference burden hinders real-world deployment. While Post-Training Quantization (PTQ) is a promis... read more 
Computer Vision and Pattern Recognition

Richer Bayesian Last Layers with Subsampled NTK Features

arXiv Feb 1, 2026
Bayesian Last Layers (BLLs) provide a convenient and computationally efficient way to estimate uncertainty in neural networks. However, they underestimate epistemic uncertainty because they apply a Bayesian treatment only to the final layer, ignoring... read more 
Machine Learning

Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models

arXiv Feb 1, 2026
Diffusion models have shown remarkable performance in image synthesis by progressively estimating a smooth transition from a Gaussian distribution of noise to a real image. Unfortunately, their practical deployment is limited by slow inference speed,... read more 
Machine Learning cs.CV
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