Artificial Intelligence Medical Compendium

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

Showing 18,751 to 18,760 of 214,544 articles

Evidential Reasoning Advances Interpretable Real-World Disease Screening

arXiv May 14, 2026
Disease screening is critical for early detection and timely intervention in clinical practice. However, most current screening models for medical images suffer from limited interpretability and suboptimal performance. They often lack effective mecha... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

From Plans to Pixels: Learning to Plan and Orchestrate for Open-Ended Image Editing

arXiv May 14, 2026
Modern image editing models produce realistic results but struggle with abstract, multi step instructions (e.g., ``make this advertisement more vegetarian-friendly''). Prior agent based methods decompose such tasks but rely on handcrafted pipelines o... read more 
Computer Vision and Pattern Recognition

Aligning Latent Geometry for Spherical Flow Matching in Image Generation

arXiv May 14, 2026
Latent flow matching for image generation usually transports Gaussian noise to variational autoencoder latents along linear paths. Both endpoints, however, concentrate in thin spherical shells, and a Euclidean chord leaves those shells even when prep... read more 
Computer Vision and Pattern Recognition

RefDecoder: Enhancing Visual Generation with Conditional Video Decoding

arXiv May 14, 2026
Video generation powers a vast array of downstream applications. However, while the de facto standard, i.e., latent diffusion models, typically employ heavily conditioned denoising networks, their decoders often remain unconditional. We observe that ... read more 
Computer Vision and Pattern Recognition cs.LG

ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both

arXiv May 14, 2026
Visual reasoning, often interleaved with intermediate visual states, has emerged as a promising direction in the field. A straightforward approach is to directly generate images via unified models during reasoning, but this is computationally expensi... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL

Towards Fine-Grained and Verifiable Concept Bottleneck Models

arXiv May 14, 2026
Concept Bottleneck Models (CBMs) offer interpretable alternatives to black-box predictors by introducing human-relatable concepts before the final output. However, existing CBMs struggle to verify whether predicted concepts correspond to the correct ... read more 
Machine Learning cs.AI

Automatic Landmark-Based Segmentation of Human Subcortical Structures in MRI

arXiv May 14, 2026
Precise segmentation of brain structures in magnetic resonance imaging (MRI) is essential for reliable neuroimaging analysis, yet voxel-wise deep models often yield anatomically inconsistent results that diverge from expert-defined boundaries. In thi... read more 
Computer Vision and Pattern Recognition

DT-Transformer: A Foundation Model for Disease Trajectory Prediction on a Real-world Health System

arXiv May 14, 2026
Accurate disease trajectory prediction is critical for early intervention, resource allocation, and improving long-term outcomes. While electronic health records (EHRs) provide a rich longitudinal view of patient health in clinical environments, mode... read more 
Machine Learning cs.CL

Implicit spatial-frequency fusion of hyperspectral and lidar data via kolmogorov-arnold networks

arXiv May 14, 2026
Hyperspectral image (HSI) classification is challenging in complex scenes due to spectral ambiguity, spatial heterogeneity, and the strong coupling between material properties and geometric structures. Although LiDAR provides complementary elevation ... read more 
Computer Vision and Pattern Recognition

Artificial Intelligence-Assistant Cardiotocography: Unified Model for Signal Reconstruction, Fetal Heart Rate Analysis, and Variability Assessment

arXiv May 14, 2026
The monitoring of fetal heart rate (FHR) and the assessment of its variability are crucial for preventing fetal compromise and adverse outcomes. However, traditional methods encounter limitations arising from equipment performance, data transmission,... read more 
Machine Learning cs.AI
Popular Topics
Recent Journals