Artificial Intelligence Medical Compendium

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

Showing 38,801 to 38,810 of 223,469 articles

High-Fidelity Face Content Recovery via Tamper-Resilient Versatile Watermarking

arXiv Mar 25, 2026
The proliferation of AIGC-driven face manipulation and deepfakes poses severe threats to media provenance, integrity, and copyright protection. Prior versatile watermarking systems typically rely on embedding explicit localization payloads, which int... read more 
Computer Vision and Pattern Recognition cs.AI

ChargeFlow: Flow-Matching Refinement of Charge-Conditioned Electron Densities

arXiv Mar 25, 2026
Accurate charge densities are central to electronic-structure theory, but computing charge-state-dependent densities with density functional theory remains too expensive for large-scale screening and defect workflows. We present ChargeFlow, a flow-ma... read more 
Materials Science cs.LG

VOLMO: Versatile and Open Large Models for Ophthalmology

arXiv Mar 25, 2026
Vision impairment affects millions globally, and early detection is critical to preventing irreversible vision loss. Ophthalmology workflows require clinicians to integrate medical images, structured clinical data, and free-text notes to determine di... read more 
Computer Vision and Pattern Recognition cs.ET

VOLMO: Versatile and Open Large Models for Ophthalmology

arXiv Mar 25, 2026
Vision impairment affects millions globally, and early detection is critical to preventing irreversible vision loss. Ophthalmology workflows require clinicians to integrate medical images, structured clinical data, and free-text notes to determine di... read more 
Computer Vision and Pattern Recognition cs.ET

SynMVCrowd: A Large Synthetic Benchmark for Multi-view Crowd Counting and Localization

arXiv Mar 25, 2026
Existing multi-view crowd counting and localization methods are evaluated under relatively small scenes with limited crowd numbers, camera views, and frames. This makes the evaluation and comparison of existing methods impractical, as small datasets ... read more 
Computer Vision and Pattern Recognition

Leave No Stone Unturned: Uncovering Holistic Audio-Visual Intrinsic Coherence for Deepfake Detection

arXiv Mar 25, 2026
The rapid progress of generative AI has enabled hyper-realistic audio-visual deepfakes, intensifying threats to personal security and social trust. Most existing deepfake detectors rely either on uni-modal artifacts or audio-visual discrepancies, fai... read more 
Computer Vision and Pattern Recognition

SLAT-Phys: Fast Material Property Field Prediction from Structured 3D Latents

arXiv Mar 25, 2026
Estimating the material property field of 3D assets is critical for physics-based simulation, robotics, and digital twin generation. Existing vision-based approaches are either too expensive and slow or rely on 3D information. We present SLAT-Phys, a... read more 
Computer Vision and Pattern Recognition cs.GR cs.RO

Machine vision with small numbers of detected photons per inference

arXiv Mar 25, 2026
Machine vision, including object recognition and image reconstruction, is a central technology in many consumer devices and scientific instruments. The design of machine-vision systems has been revolutionized by the adoption of end-to-end optimizatio... read more 
Optics cs.CV cs.ET cs.LG physics.data-an

Kirchhoff-Inspired Neural Networks for Evolving High-Order Perception

arXiv Mar 25, 2026
Deep learning architectures are fundamentally inspired by neuroscience, particularly the structure of the brain's sensory pathways, and have achieved remarkable success in learning informative data representations. Although these architectures mimic ... read more 
Machine Learning cs.AI

Can we generate portable representations for clinical time series data using LLMs?

arXiv Mar 25, 2026
Deploying clinical ML is slow and brittle: models that work at one hospital often degrade under distribution shifts at the next. In this work, we study a simple question -- can large language models (LLMs) create portable patient embeddings i.e. repr... read more 
Machine Learning
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