Artificial Intelligence Medical Compendium

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

Showing 59,971 to 59,980 of 228,014 articles

PMCE: Probabilistic Multi-Granularity Semantics with Caption-Guided Enhancement for Few-Shot Learning

arXiv Jan 20, 2026
Few-shot learning aims to identify novel categories from only a handful of labeled samples, where prototypes estimated from scarce data are often biased and generalize poorly. Semantic-based methods alleviate this by introducing coarse class-level in... read more 
Computer Vision and Pattern Recognition

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

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
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