Artificial Intelligence Medical Compendium

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

Showing 18,461 to 18,470 of 214,278 articles

Dual-Latent Collaborative Decoding for Fidelity-Perception Balanced Image Compression

arXiv May 14, 2026
Learned image compression (LIC) increasingly requires reconstructions that balance distortion fidelity and perceptual realism across a wide range of bitrates. However, most existing methods still rely on a single compressed latent representation to s... read more 
Computer Vision and Pattern Recognition

SceneForge: Structured World Supervision from 3D Interventions

arXiv May 14, 2026
Many multimodal learning tasks require supervision that remains consistent across edits, viewpoints, and scene-level interventions. However, such supervision is difficult to obtain from observation-level datasets, which do not expose the underlying s... read more 
Computer Vision and Pattern Recognition cs.GR

DermAgent: A Self-Reflective Agentic System for Dermatological Image Analysis with Multi-Tool Reasoning and Traceable Decision-Making

arXiv May 14, 2026
Dermatological diagnosis requires integrating fine-grained visual perception with expert clinical knowledge. Although Multimodal Large Language Models (MLLMs) facilitate interactive medical image analysis, their application in dermatology is hindered... read more 
Computer Vision and Pattern Recognition

GeoViSTA: Geospatial Vision-Tabular Transformer for Multimodal Environment Representation

arXiv May 14, 2026
Large-scale pretraining on Earth observation imagery has yielded powerful representations of the natural and built environment. However, most existing geospatial foundation models do not directly model the structured socioeconomic covariates typicall... read more 
Machine Learning cs.CV

GeoVista: Visually Grounded Active Perception for Ultra-High-Resolution Remote Sensing Understanding

arXiv May 14, 2026
Interpreting ultra-high-resolution (UHR) remote sensing images requires models to search for sparse and tiny visual evidence across large-scale scenes. Existing remote sensing vision-language models can inspect local regions with zooming and cropping... read more 
Computer Vision and Pattern Recognition

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection

arXiv May 14, 2026
As the misuse of AI-generated images grows, generalizable image detection techniques are urgently needed. Recent state-of-the-art (SOTA) methods adopt aligned training datasets to reduce content, size, and format biases, empowering models to capture ... read more 
Computer Vision and Pattern Recognition

From Sparse to Dense: Spatio-Temporal Fusion for Multi-View 3D Human Pose Estimation with DenseWarper

arXiv May 14, 2026
In multi-view 3D human pose estimation, models typically rely on images captured simultaneously from different camera views to predict a pose at a specific moment. While providing accurate spatial information, this traditional approach often overlook... read more 
Computer Vision and Pattern Recognition

PROVE: A Perceptual RemOVal cohErence Benchmark for Visual Media

arXiv May 14, 2026
Evaluating object removal in images and videos remains challenging because the task is inherently one-to-many, yet existing metrics frequently disagree with human perception. Full-reference metrics reward copy-paste behaviors over genuine erasure; no... read more 
Computer Vision and Pattern Recognition cs.AI cs.MM

RxEval: A Prescription-Level Benchmark for Evaluating LLM Medication Recommendation

arXiv May 14, 2026
Inpatient medication recommendation requires clinicians to repeatedly select specific medications, doses, and routes as a patient's condition evolves. Existing benchmarks formulate this task as admission-level prediction over coarse drug codes with m... read more 
Machine Learning cs.AI

Multi-Dimensional Model Integrity and Responsibility Assessment Index and Scoring Framework

arXiv May 14, 2026
Artificial intelligence in high-stakes tabular domains cannot be evaluated by predictive performance alone, yet current practice still assesses explainability, fairness, robustness, privacy, and sustainability mostly in isolation. We propose the Mode... read more 
Machine Learning
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