Artificial Intelligence Medical Compendium

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

Showing 46,571 to 46,580 of 224,199 articles

Experience-Guided Self-Adaptive Cascaded Agents for Breast Cancer Screening and Diagnosis with Reduced Biopsy Referrals

arXiv Feb 27, 2026
We propose an experience-guided cascaded multi-agent framework for Breast Ultrasound Screening and Diagnosis, called BUSD-Agent, that aims to reduce diagnostic escalation and unnecessary biopsy referrals. Our framework models screening and diagnosis ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

SegMate: Asymmetric Attention-Based Lightweight Architecture for Efficient Multi-Organ Segmentation

arXiv Feb 27, 2026
State-of-the-art models for medical image segmentation achieve excellent accuracy but require substantial computational resources, limiting deployment in resource-constrained clinical settings. We present SegMate, an efficient 2.5D framework that ach... read more 
Computer Vision and Pattern Recognition cs.LG

Half-Truths Break Similarity-Based Retrieval

arXiv Feb 27, 2026
When a text description is extended with an additional detail, image-text similarity should drop if that detail is wrong. We show that CLIP-style dual encoders often violate this intuition: appending a plausible but incorrect object or relation to an... read more 
Computer Vision and Pattern Recognition

The Geometry of Transfer: Unlocking Medical Vision Manifolds for Training-Free Model Ranking

arXiv Feb 27, 2026
The advent of large-scale self-supervised learning (SSL) has produced a vast zoo of medical foundation models. However, selecting optimal medical foundation models for specific segmentation tasks remains a computational bottleneck. Existing Transfera... read more 
Computer Vision and Pattern Recognition cs.AI

AHAP: Reconstructing Arbitrary Humans from Arbitrary Perspectives with Geometric Priors

arXiv Feb 27, 2026
Reconstructing 3D humans from images captured at multiple perspectives typically requires pre-calibration, like using checkerboards or MVS algorithms, which limits scalability and applicability in diverse real-world scenarios. In this work, we presen... read more 
Computer Vision and Pattern Recognition

Thinking with Images as Continuous Actions: Numerical Visual Chain-of-Thought

arXiv Feb 27, 2026
Recent multimodal large language models (MLLMs) increasingly rely on visual chain-of-thought to perform region-grounded reasoning over images. However, existing approaches ground regions via either textified coordinates-causing modality mismatch and ... read more 
Computer Vision and Pattern Recognition

Clinically-aligned ischemic stroke segmentation and ASPECTS scoring on NCCT imaging using a slice-gated loss on foundation representations

arXiv Feb 27, 2026
Rapid infarct assessment on non-contrast CT (NCCT) is essential for acute ischemic stroke management. Most deep learning methods perform pixel-wise segmentation without modeling the structured anatomical reasoning underlying ASPECTS scoring, where ba... read more 
Image and Video Processing cs.CV

Extending 2D foundational DINOv3 representations to 3D segmentation of neonatal brain MR images

arXiv Feb 27, 2026
Precise volumetric delineation of hippocampal structures is essential for quantifying neurodevelopmental trajectories in pre-term and term infants, where subtle morphological variations may carry prognostic significance. While foundation encoders tra... read more 
Image and Video Processing cs.CV

MSVBench: Towards Human-Level Evaluation of Multi-Shot Video Generation

arXiv Feb 27, 2026
The evolution of video generation toward complex, multi-shot narratives has exposed a critical deficit in current evaluation methods. Existing benchmarks remain anchored to single-shot paradigms, lacking the comprehensive story assets and cross-shot ... read more 
Multimedia cs.CV

Intrinsic Lorentz Neural Network

arXiv Feb 27, 2026
Real-world data frequently exhibit latent hierarchical structures, which can be naturally represented by hyperbolic geometry. Although recent hyperbolic neural networks have demonstrated promising results, many existing architectures remain partially... read more 
Machine Learning cs.AI
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