Artificial Intelligence Medical Compendium

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

Showing 40,541 to 40,550 of 223,737 articles

From Concepts to Judgments: Interpretable Image Aesthetic Assessment

arXiv Mar 18, 2026
Image aesthetic assessment (IAA) aims to predict the aesthetic quality of images as perceived by humans. While recent IAA models achieve strong predictive performance, they offer little insight into the factors driving their predictions. Yet for user... read more 
Computer Vision and Pattern Recognition

LLM-Augmented Computational Phenotyping of Long Covid

arXiv Mar 18, 2026
Phenotypic characterization is essential for understanding heterogeneity in chronic diseases and for guiding personalized interventions. Long COVID, a complex and persistent condition, yet its clinical subphenotypes remain poorly understood. In this ... read more 
Machine Learning cs.AI

Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models

arXiv Mar 18, 2026
Large Language Models (LLMs) have achieved remarkable reliability and advanced capabilities through extended test-time reasoning. However, extending these capabilities to Multi-modal Large Language Models (MLLMs) remains a significant challenge due t... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Starting Off on the Wrong Foot: Pitfalls in Data Preparation

arXiv Mar 18, 2026
When working with real-world insurance data, practitioners often encounter challenges during the data preparation stage that can undermine the statistical validity and reliability of downstream modeling. This study illustrates that conventional data ... read more 
Machine Learning cs.LG stat.AP

MicroVision: An Open Dataset and Benchmark Models for Detecting Vulnerable Road Users and Micromobility Vehicles

arXiv Mar 18, 2026
Micromobility is a growing mode of transportation, raising new challenges for traffic safety and planning due to increased interactions in areas where vulnerable road users (VRUs) share the infrastructure with micromobility, including parked micromob... read more 
Computer Vision and Pattern Recognition

R2-Dreamer: Redundancy-Reduced World Models without Decoders or Augmentation

arXiv Mar 18, 2026
A central challenge in image-based Model-Based Reinforcement Learning (MBRL) is to learn representations that distill essential information from irrelevant visual details. While promising, reconstruction-based methods often waste capacity on large ta... read more 
Machine Learning cs.AI cs.RO

Impact of automatic speech recognition quality on Alzheimer's disease detection from spontaneous speech: a reproducible benchmark study with lexical modeling and statistical validation

arXiv Mar 18, 2026
Early detection of Alzheimer's disease from spontaneous speech has emerged as a promising non-invasive screening approach. However, the influence of automatic speech recognition (ASR) quality on downstream clinical language modeling remains insuffici... read more 
Quantitative Methods cs.CL cs.LG

CycleCap: Improving VLMs Captioning Performance via Self-Supervised Cycle Consistency Fine-Tuning

arXiv Mar 18, 2026
Visual-Language Models (VLMs) have achieved remarkable progress in image captioning, visual question answering, and visual reasoning. Yet they remain prone to vision-language misalignment, often producing overly generic or hallucinated descriptions. ... read more 
Computer Vision and Pattern Recognition

Sparse3DTrack: Monocular 3D Object Tracking Using Sparse Supervision

arXiv Mar 18, 2026
Monocular 3D object tracking aims to estimate temporally consistent 3D object poses across video frames, enabling autonomous agents to reason about scene dynamics. However, existing state-of-the-art approaches are fully supervised and rely on dense 3... read more 
Robotics cs.AI cs.CV

Fast and Generalizable NeRF Architecture Selection for Satellite Scene Reconstruction

arXiv Mar 18, 2026
Neural Radiance Fields (NeRF) have emerged as a powerful approach for photorealistic 3D reconstruction from multi-view images. However, deploying NeRF for satellite imagery remains challenging. Each scene requires individual training, and optimizing ... read more 
Computer Vision and Pattern Recognition cs.LG
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