Artificial Intelligence Medical Compendium

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

Showing 39,451 to 39,460 of 223,737 articles

To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models

arXiv Mar 23, 2026
Vision-language models (VLMs) adapted to the medical domain have shown strong performance on visual question answering benchmarks, yet their robustness against two critical failure modes, hallucination and sycophancy, remains poorly understood, parti... read more 
Computer Vision and Pattern Recognition cs.AI

PIVM: Diffusion-Based Prior-Integrated Variation Modeling for Anatomically Precise Abdominal CT Synthesis

arXiv Mar 23, 2026
Abdominal CT data are limited by high annotation costs and privacy constraints, which hinder the development of robust segmentation and diagnostic models. We present a Prior-Integrated Variation Modeling (PIVM) framework, a diffusion-based method for... read more 
Computer Vision and Pattern Recognition

Single-Subject Multi-View MRI Super-Resolution via Implicit Neural Representations

arXiv Mar 23, 2026
Clinical MRI frequently acquires anisotropic volumes with high in-plane resolution and low through-plane resolution to reduce acquisition time. Multiple orientations are therefore acquired to provide complementary anatomical information. Conventional... read more 
Image and Video Processing cs.CV

CAM3R: Camera-Agnostic Model for 3D Reconstruction

arXiv Mar 23, 2026
Recovering dense 3D geometry from unposed images remains a foundational challenge in computer vision. Current state-of-the-art models are predominantly trained on perspective datasets, which implicitly constrains them to a standard pinhole camera geo... read more 
Computer Vision and Pattern Recognition

Q-Tacit: Image Quality Assessment via Latent Visual Reasoning

arXiv Mar 23, 2026
Vision-Language Model (VLM)-based image quality assessment (IQA) has been significantly advanced by incorporating Chain-of-Thought (CoT) reasoning. Recent work has refined image quality reasoning by applying reinforcement learning (RL) and leveraging... read more 
Computer Vision and Pattern Recognition

Pretext Matters: An Empirical Study of SSL Methods in Medical Imaging

arXiv Mar 23, 2026
Though self-supervised learning (SSL) has demonstrated incredible ability to learn robust representations from unlabeled data, the choice of optimal SSL strategy can lead to vastly different performance outcomes in specialized domains. Joint embeddin... read more 
Computer Vision and Pattern Recognition

Compressive single-pixel imaging via a wavelength-multiplexed spatially incoherent diffractive optical processor

arXiv Mar 23, 2026
Despite offering high sensitivity, a high signal-to-noise ratio, and a broad spectral range, single-pixel imaging (SPI) is limited by low measurement efficiency and long data-acquisition times. To address this, we propose a wavelength-multiplexed, sp... read more 
Optics cs.NE

EpiMask: Leveraging Epipolar Distance Based Masks in Cross-Attention for Satellite Image Matching

arXiv Mar 23, 2026
The deep-learning based image matching networks can now handle significantly larger variations in viewpoints and illuminations while providing matched pairs of pixels with sub-pixel precision. These networks have been trained with ground-based image ... read more 
Computer Vision and Pattern Recognition

TaigiSpeech: A Low-Resource Real-World Speech Intent Dataset and Preliminary Results with Scalable Data Mining In-the-Wild

arXiv Mar 23, 2026
Speech technologies have advanced rapidly and serve diverse populations worldwide. However, many languages remain underrepresented due to limited resources. In this paper, we introduce \textbf{TaigiSpeech}, a real-world speech intent dataset in Taiwa... read more 
Computation and Language cs.LG eess.AS

ALADIN:Attribute-Language Distillation Network for Person Re-Identification

arXiv Mar 23, 2026
Recent vision-language models such as CLIP provide strong cross-modal alignment, but current CLIP-guided ReID pipelines rely on global features and fixed prompts. This limits their ability to capture fine-grained attribute cues and adapt to diverse a... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals