Artificial Intelligence Medical Compendium

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

Showing 29,001 to 29,010 of 219,647 articles

Sonata: A Hybrid World Model for Inertial Kinematics under Clinical Data Scarcity

arXiv Apr 20, 2026
We introduce Sonata, a compact latent world model for six-axis trunk IMU representation learning under clinical data scarcity. Clinical cohorts typically comprise tens to hundreds of patients, making web-scale masked-reconstruction objectives poorly ... read more 
Machine Learning

Class-specific diffusion models improve military object detection in a low-data domain

arXiv Apr 20, 2026
Diffusion-based image synthesis has emerged as a promising source of synthetic training data for AI-based object detection and classification. In this work, we investigate whether images generated with diffusion can improve military vehicle detection... read more 
Computer Vision and Pattern Recognition cs.AI

Autonomous Unmanned Aircraft Systems for Enhanced Search and Rescue of Drowning Swimmers: Image-Based Localization and Mission Simulation

arXiv Apr 20, 2026
Drowning is an omnipresent risk associated with any activity on or in the water, and rescuing a drowning person is particularly challenging because of the time pressure, making a short response time important. Further complicating water rescue are un... read more 
Computer Vision and Pattern Recognition cs.AI stat.AP

Culture-Aware Humorous Captioning: Multimodal Humor Generation across Cultural Contexts

arXiv Apr 20, 2026
Recent multimodal large language models have shown promising ability in generating humorous captions for images, yet they still lack stable control over explicit cultural context, making it difficult to jointly maintain image relevance, contextual ap... read more 
Computation and Language cs.CV

Can LLM-Generated Text Empower Surgical Vision-Language Pre-training?

arXiv Apr 20, 2026
Recent advancements in self-supervised learning have led to powerful surgical vision encoders capable of spatiotemporal understanding. However, extending these visual foundations to multi-modal reasoning tasks is severely bottlenecked by the prohibit... read more 
Computer Vision and Pattern Recognition

Soft Label Pruning and Quantization for Large-Scale Dataset Distillation

arXiv Apr 20, 2026
Large-scale dataset distillation requires storing auxiliary soft labels that can be 30-40x larger on ImageNet-1K and 200x larger on ImageNet-21K than the condensed images, undermining the goal of dataset compression. We identify two fundamental issue... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework

arXiv Apr 20, 2026
Automated medical report generation for 3D PET/CT imaging is fundamentally challenged by the high-dimensional nature of volumetric data and a critical scarcity of annotated datasets, particularly for low-resource languages. Current black-box methods ... read more 
Computer Vision and Pattern Recognition cs.AI

Attention-ResUNet for Automated Fetal Head Segmentation

arXiv Apr 20, 2026
Automated fetal head segmentation in ultrasound images is critical for accurate biometric measurements in prenatal care. While existing deep learning approaches have achieved a reasonable performance, they struggle with issues like low contrast, nois... read more 
Computer Vision and Pattern Recognition cs.LG

mlr3torch: A Deep Learning Framework in R based on mlr3 and torch

arXiv Apr 20, 2026
Deep learning (DL) has become a cornerstone of modern machine learning (ML) praxis. We introduce the R package mlr3torch, which is an extensible DL framework for the mlr3 ecosystem. It is built upon the torch package, and simplifies the definition, t... read more 
Machine Learning cs.LG

MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge

arXiv Apr 20, 2026
Multimodal Large Language Models (MLLMs) have been increasingly used as automatic evaluators-a paradigm known as MLLM-as-a-Judge. However, their reliability and vulnerabilities to biases remain underexplored. We find that many MLLM judges fail to rel... read more 
Computation and Language cs.AI cs.CV
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