Artificial Intelligence Medical Compendium

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

Showing 62,191 to 62,200 of 230,319 articles

Learning to Explain: Supervised Token Attribution from Transformer Attention Patterns

arXiv Jan 20, 2026
Explainable AI (XAI) has become critical as transformer-based models are deployed in high-stakes applications including healthcare, legal systems, and financial services, where opacity hinders trust and accountability. Transformers self-attention mec... read more 
Computation and Language cs.LG

The Side Effects of Being Smart: Safety Risks in MLLMs' Multi-Image Reasoning

arXiv Jan 20, 2026
As Multimodal Large Language Models (MLLMs) acquire stronger reasoning capabilities to handle complex, multi-image instructions, this advancement may pose new safety risks. We study this problem by introducing MIR-SafetyBench, the first benchmark foc... read more 
Computer Vision and Pattern Recognition cs.CL

GIC-DLC: Differentiable Logic Circuits for Hardware-Friendly Grayscale Image Compression

arXiv Jan 20, 2026
Neural image codecs achieve higher compression ratios than traditional hand-crafted methods such as PNG or JPEG-XL, but often incur substantial computational overhead, limiting their deployment on energy-constrained devices such as smartphones, camer... read more 
Computer Vision and Pattern Recognition

LLM Augmented Intervenable Multimodal Adaptor for Post-operative Complication Prediction in Lung Cancer Surgery

arXiv Jan 20, 2026
Postoperative complications remain a critical concern in clinical practice, adversely affecting patient outcomes and contributing to rising healthcare costs. We present MIRACLE, a deep learning architecture for prediction of risk of postoperative com... read more 
Computer Vision and Pattern Recognition cs.AI

One-Shot Refiner: Boosting Feed-forward Novel View Synthesis via One-Step Diffusion

arXiv Jan 20, 2026
We present a novel framework for high-fidelity novel view synthesis (NVS) from sparse images, addressing key limitations in recent feed-forward 3D Gaussian Splatting (3DGS) methods built on Vision Transformer (ViT) backbones. While ViT-based pipeline... read more 
Computer Vision and Pattern Recognition

ASBA: A-line State Space Model and B-line Attention for Sparse Optical Doppler Tomography Reconstruction

arXiv Jan 20, 2026
Optical Doppler Tomography (ODT) is an emerging blood flow analysis technique. A 2D ODT image (B-scan) is generated by sequentially acquiring 1D depth-resolved raw A-scans (A-line) along the lateral axis (B-line), followed by Doppler phase-subtractio... read more 
Computer Vision and Pattern Recognition

Progressive self-supervised blind-spot denoising method for LDCT denoising

arXiv Jan 20, 2026
Self-supervised learning is increasingly investigated for low-dose computed tomography (LDCT) image denoising, as it alleviates the dependence on paired normal-dose CT (NDCT) data, which are often difficult to acquire in clinical practice. In this pa... read more 
Computer Vision and Pattern Recognition

Analyzing Far-Right Telegram Channels as Constituents of Information Autocracy in Russia

arXiv Jan 20, 2026
This study examines how Russian far-right communities on Telegram shape perceptions of political figures through memes and visual narratives. Far from passive spectators, these actors co-produce propaganda, blending state-aligned messages with their ... read more 
Computers and Society

Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment

arXiv Jan 20, 2026
Sepsis remains one of the leading causes of mortality in intensive care units, where timely and accurate treatment decisions can significantly impact patient outcomes. In this work, we propose an interpretable decision support framework. Our system i... read more 
Machine Learning

Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration

arXiv Jan 20, 2026
The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will produce unprecedented volumes of heterogeneous astronomical data (images, catalogs, and alerts) that challenge traditional analysis pipelines. The LSST Dark Energy Science Co... read more 
Instrumentation and Methods for Astrophysics astro-ph.CO cs.AI cs.LG stat.ML
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