Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 28,931 to 28,940 of 219,647 articles
Structure-guided molecular design with contrastive 3D protein-ligand learning
arXiv
Apr 21, 2026
Structure-based drug discovery faces the dual challenge of accurately capturing 3D protein-ligand interactions while navigating ultra-large chemical spaces to identify synthetically accessible candidates. In this work, we present a unified framework ... read more
Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps
arXiv
Apr 21, 2026
Hallucinations in Speech Large Language Models (SpeechLLMs) pose significant risks, yet existing detection methods typically rely on gold-standard outputs that are costly or impractical to obtain. Moreover, hallucination detection methods developed f... read more
RF-HiT: Rectified Flow Hierarchical Transformer for General Medical Image Segmentation
arXiv
Apr 21, 2026
Accurate medical image segmentation requires both long-range contextual reasoning and precise boundary delineation, a task where existing transformer- and diffusion-based paradigms are frequently bottlenecked by quadratic computational complexity and... read more
SmartPhotoCrafter: Unified Reasoning, Generation and Optimization for Automatic Photographic Image Editing
arXiv
Apr 21, 2026
Traditional photographic image editing typically requires users to possess sufficient aesthetic understanding to provide appropriate instructions for adjusting image quality and camera parameters. However, this paradigm relies on explicit human instr... read more
GRAFT: Geometric Refinement and Fitting Transformer for Human Scene Reconstruction
arXiv
Apr 21, 2026
Reconstructing physically plausible 3D human-scene interactions (HSI) from a single image currently presents a trade-off: optimization based methods offer accurate contact but are slow (~20s), while feed-forward approaches are fast yet lack explicit ... read more
MOSA: Motion-Guided Semantic Alignment for Dynamic Scene Graph Generation
arXiv
Apr 21, 2026
Dynamic Scene Graph Generation (DSGG) aims to structurally model objects and their dynamic interactions in video sequences for high-level semantic understanding. However, existing methods struggle with fine-grained relationship modeling, semantic rep... read more
CreatiParser: Generative Image Parsing of Raster Graphic Designs into Editable Layers
arXiv
Apr 21, 2026
Graphic design images consist of multiple editable layers, such as text, background, and decorative elements, while most generative models produce rasterized outputs without explicit layer structures, limiting downstream editing. Existing graphic des... read more
CoInteract: Physically-Consistent Human-Object Interaction Video Synthesis via Spatially-Structured Co-Generation
arXiv
Apr 21, 2026
Synthesizing human--object interaction (HOI) videos has broad practical value in e-commerce, digital advertising, and virtual marketing. However, current diffusion models, despite their photorealistic rendering capability, still frequently fail on (i... read more
InHabit: Leveraging Image Foundation Models for Scalable 3D Human Placement
arXiv
Apr 21, 2026
Training embodied agents to understand 3D scenes as humans do requires large-scale data of people meaningfully interacting with diverse environments, yet such data is scarce. Real-world motion capture is costly and limited to controlled settings, whi... read more
MedFlowSeg: Flow Matching for Medical Image Segmentation with Frequency-Aware Attention
arXiv
Apr 21, 2026
Flow matching has recently emerged as a principled framework for learning continuous-time transport maps, enabling efficient deterministic generation without relying on stochastic diffusion processes. While generative modeling has shown promise for m... read more
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