Artificial Intelligence Medical Compendium

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

Showing 41,531 to 41,540 of 223,853 articles

Visual Confused Deputy: Exploiting and Defending Perception Failures in Computer-Using Agents

arXiv Mar 16, 2026
Computer-using agents (CUAs) act directly on graphical user interfaces, yet their perception of the screen is often unreliable. Existing work largely treats these failures as performance limitations, asking whether an action succeeds, rather than whe... read more 
Computer Vision and Pattern Recognition cs.CL

Multimodal Deep Learning for Early Prediction of Patient Deterioration in the ICU: Integrating Time-Series EHR Data with Clinical Notes

arXiv Mar 16, 2026
Early identification of patients at risk for clinical deterioration in the intensive care unit (ICU) remains a critical challenge. Delayed recognition of impending adverse events, including mortality, vasopressor initiation, and mechanical ventilatio... read more 
Machine Learning

Automated Diabetic Screening via Anterior Segment Ocular Imaging: A Deep Learning and Explainable AI Approach

arXiv Mar 16, 2026
Diabetic retinopathy screening traditionally relies on fundus photography, requiring specialized equipment and expertise often unavailable in primary care and resource limited settings. We developed and validated a deep learning (DL) system for autom... read more 
Computer Vision and Pattern Recognition

GNNVerifier: Graph-based Verifier for LLM Task Planning

arXiv Mar 16, 2026
Large language models (LLMs) facilitate the development of autonomous agents. As a core component of such agents, task planning aims to decompose complex natural language requests into concrete, solvable sub-tasks. Since LLM-generated plans are frequ... read more 
Machine Learning

GNNVerifier: Graph-based Verifier for LLM Task Planning

arXiv Mar 16, 2026
Large language models (LLMs) facilitate the development of autonomous agents. As a core component of such agents, task planning aims to decompose complex natural language requests into concrete, solvable sub-tasks. Since LLM-generated plans are frequ... read more 
Machine Learning

PHAC: Promptable Human Amodal Completion

arXiv Mar 16, 2026
Conditional image generation methods are increasingly used in human-centric applications, yet existing human amodal completion (HAC) models offer users limited control over the completed content. Given an occluded person image, they hallucinate invis... read more 
Computer Vision and Pattern Recognition

Understanding the geometry of deep learning with decision boundary volume

arXiv Mar 16, 2026
For classification tasks, the performance of a deep neural network is determined by the structure of its decision boundary, whose geometry directly affects essential properties of the model, including accuracy and robustness. Motivated by a classical... read more 
Machine Learning stat.ML

AnyPhoto: Multi-Person Identity Preserving Image Generation with ID Adaptive Modulation on Location Canvas

arXiv Mar 16, 2026
Multi-person identity-preserving generation requires binding multiple reference faces to specified locations under a text prompt. Strong identity/layout conditions often trigger copy-paste shortcuts and weaken prompt-driven controllability. We presen... read more 
Computer Vision and Pattern Recognition

Zero-Shot Reconstruction of Animatable 3D Avatars with Cloth Dynamics from a Single Image

arXiv Mar 16, 2026
Existing single-image 3D human avatar methods primarily rely on rigid joint transformations, limiting their ability to model realistic cloth dynamics. We present DynaAvatar, a zero-shot framework that reconstructs animatable 3D human avatars with mot... read more 
Computer Vision and Pattern Recognition

High-Fidelity 3D Facial Avatar Synthesis with Controllable Fine-Grained Expressions

arXiv Mar 16, 2026
Facial expression editing methods can be mainly categorized into two types based on their architectures: 2D-based and 3D-based methods. The former lacks 3D face modeling capabilities, making it difficult to edit 3D factors effectively. The latter has... read more 
Computer Vision and Pattern Recognition
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