Artificial Intelligence Medical Compendium

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

Showing 57,791 to 57,800 of 227,388 articles

Transparency-First Medical Language Models: Datasheets, Model Cards, and End-to-End Data Provenance for Clinical NLP

arXiv Jan 27, 2026
We introduce TeMLM, a set of transparency-first release artifacts for clinical language models. TeMLM unifies provenance, data transparency, modeling transparency, and governance into a single, machine-checkable release bundle. We define an artifact ... read more 
Computation and Language cs.LG

VC-Bench: Pioneering the Video Connecting Benchmark with a Dataset and Evaluation Metrics

arXiv Jan 27, 2026
While current video generation focuses on text or image conditions, practical applications like video editing and vlogging often need to seamlessly connect separate clips. In our work, we introduce Video Connecting, an innovative task that aims to ge... read more 
Computer Vision and Pattern Recognition cs.MM

Contrast-Source-Based Physics-Driven Neural Network for Inverse Scattering Problems

arXiv Jan 27, 2026
Deep neural networks (DNNs) have recently been applied to inverse scattering problems (ISPs) due to their strong nonlinear mapping capabilities. However, supervised DNN solvers require large-scale datasets, which limits their generalization in practi... read more 
Machine Learning physics.comp-ph

Magnetic Resonance Simulation of Effective Transverse Relaxation (T2*)

arXiv Jan 27, 2026
Purpose: To simulate effective transverse relaxation ($T_2^*$) as a part of MR simulation. $T_2^*$ consists of reversible ($T_2^{\prime}$) and irreversible ($T_2$) components. Whereas simulations of $T_2$ are easy, $T_2^{\prime}$ is not easily simula... read more 
Image and Video Processing cs.CV physics.med-ph

TIGaussian: Disentangle Gaussians for Spatial-Awared Text-Image-3D Alignment

arXiv Jan 27, 2026
While visual-language models have profoundly linked features between texts and images, the incorporation of 3D modality data, such as point clouds and 3D Gaussians, further enables pretraining for 3D-related tasks, e.g., cross-modal retrieval, zero-s... read more 
Computer Vision and Pattern Recognition

Handcrafted Feature Fusion for Reliable Detection of AI-Generated Images

arXiv Jan 27, 2026
The rapid progress of generative models has enabled the creation of highly realistic synthetic images, raising concerns about authenticity and trust in digital media. Detecting such fake content reliably is an urgent challenge. While deep learning ap... read more 
Computer Vision and Pattern Recognition

ProMist-5K: A Comprehensive Dataset for Digital Emulation of Cinematic Pro-Mist Filter Effects

arXiv Jan 27, 2026
Pro-Mist filters are widely used in cinematography for their ability to create soft halation, lower contrast, and produce a distinctive, atmospheric style. These effects are difficult to reproduce digitally due to the complex behavior of light diffus... read more 
Computer Vision and Pattern Recognition

Beyond Shadows: A Large-Scale Benchmark and Multi-Stage Framework for High-Fidelity Facial Shadow Removal

arXiv Jan 27, 2026
Facial shadows often degrade image quality and the performance of vision algorithms. Existing methods struggle to remove shadows while preserving texture, especially under complex lighting conditions, and they lack real-world paired datasets for trai... read more 
Computer Vision and Pattern Recognition

LightSBB-M: Bridging Schrödinger and Bass for Generative Diffusion Modeling

arXiv Jan 27, 2026
The Schrodinger Bridge and Bass (SBB) formulation, which jointly controls drift and volatility, is an established extension of the classical Schrodinger Bridge (SB). Building on this framework, we introduce LightSBB-M, an algorithm that computes the ... read more 
Machine Learning eess.SY stat.CO stat.ML

Robust Uncertainty Estimation under Distribution Shift via Difference Reconstruction

arXiv Jan 27, 2026
Estimating uncertainty in deep learning models is critical for reliable decision-making in high-stakes applications such as medical imaging. Prior research has established that the difference between an input sample and its reconstructed version prod... read more 
Machine Learning cs.AI
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