Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 62,621 to 62,630 of 230,507 articles
Early Prediction of Type 2 Diabetes Using Multimodal data and Tabular Transformers
arXiv
Jan 19, 2026
This study introduces a novel approach for early Type 2 Diabetes Mellitus (T2DM) risk prediction using a tabular transformer (TabTrans) architecture to analyze longitudinal patient data. By processing patients` longitudinal health records and bone-re... read more
Extracting useful information about reversible evolutionary processes from irreversible evolutionary accumulation models
arXiv
Jan 19, 2026
Evolutionary accumulation models (EvAMs) are an emerging class of machine learning methods designed to infer the evolutionary pathways by which features are acquired. Applications include cancer evolution (accumulation of mutations), anti-microbial r... read more
Enhancing Generalization in Sickle Cell Disease Diagnosis through Ensemble Methods and Feature Importance Analysis
arXiv
Jan 19, 2026
This work presents a novel approach for selecting the optimal ensemble-based classification method and features with a primarly focus on achieving generalization, based on the state-of-the-art, to provide diagnostic support for Sickle Cell Disease us... read more
Think3D: Thinking with Space for Spatial Reasoning
arXiv
Jan 19, 2026
Understanding and reasoning about the physical world requires spatial intelligence: the ability to interpret geometry, perspective, and spatial relations beyond 2D perception. While recent vision large models (VLMs) excel at visual understanding, the... read more
GridNet-HD: A High-Resolution Multi-Modal Dataset for LiDAR-Image Fusion on Power Line Infrastructure
arXiv
Jan 19, 2026
This paper presents GridNet-HD, a multi-modal dataset for 3D semantic segmentation of overhead electrical infrastructures, pairing high-density LiDAR with high-resolution oblique imagery. The dataset comprises 7,694 images and 2.5 billion points anno... read more
Prototype Learning-Based Few-Shot Segmentation for Low-Light Crack on Concrete Structures
arXiv
Jan 19, 2026
Crack detection is critical for concrete infrastructure safety, but real-world cracks often appear in low-light environments like tunnels and bridge undersides, degrading computer vision segmentation accuracy. Pixel-level annotation of low-light crac... read more
Patient-Conditioned Adaptive Offsets for Reliable Diagnosis across Subgroups
arXiv
Jan 19, 2026
AI models for medical diagnosis often exhibit uneven performance across patient populations due to heterogeneity in disease prevalence, imaging appearance, and clinical risk profiles. Existing algorithmic fairness approaches typically seek to reduce ... read more
A Streamlined Attention-Based Network for Descriptor Extraction
arXiv
Jan 19, 2026
We introduce SANDesc, a Streamlined Attention-Based Network for Descriptor extraction that aims to improve on existing architectures for keypoint description. Our descriptor network learns to compute descriptors that improve matching without modify... read more
PhaseMark: A Post-hoc, Optimization-Free Watermarking of AI-generated Images in the Latent Frequency Domain
arXiv
Jan 19, 2026
The proliferation of hyper-realistic images from Latent Diffusion Models (LDMs) demands robust watermarking, yet existing post-hoc methods are prohibitively slow due to iterative optimization or inversion processes. We introduce PhaseMark, a single-s... read more
GaussExplorer: 3D Gaussian Splatting for Embodied Exploration and Reasoning
arXiv
Jan 19, 2026
We present GaussExplorer, a framework for embodied exploration and reasoning built on 3D Gaussian Splatting (3DGS). While prior approaches to language-embedded 3DGS have made meaningful progress in aligning simple text queries with Gaussian embedding... read more
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