Artificial Intelligence Medical Compendium

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

Showing 44,271 to 44,280 of 224,055 articles

JOPP-3D: Joint Open Vocabulary Semantic Segmentation on Point Clouds and Panoramas

arXiv Mar 6, 2026
Semantic segmentation across visual modalities such as 3D point clouds and panoramic images remains a challenging task, primarily due to the scarcity of annotated data and the limited adaptability of fixed-label models. In this paper, we present JOPP... read more 
Computer Vision and Pattern Recognition

Optimizing 3D Diffusion Models for Medical Imaging via Multi-Scale Reward Learning

arXiv Mar 6, 2026
Diffusion models have emerged as powerful tools for 3D medical image generation, yet bridging the gap between standard training objectives and clinical relevance remains a challenge. This paper presents a method to enhance 3D diffusion models using R... read more 
Computer Vision and Pattern Recognition

Making Training-Free Diffusion Segmentors Scale with the Generative Power

arXiv Mar 6, 2026
As powerful generative models, text-to-image diffusion models have recently been explored for discriminative tasks. A line of research focuses on adapting a pre-trained diffusion model to semantic segmentation without any further training, leading to... read more 
Computer Vision and Pattern Recognition

CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation

arXiv Mar 6, 2026
We introduce CRIMSON, a clinically grounded evaluation framework for chest X-ray report generation that assesses reports based on diagnostic correctness, contextual relevance, and patient safety. Unlike prior metrics, CRIMSON incorporates full clinic... read more 
Computation and Language cs.AI cs.CV

SpaCRD: Multimodal Deep Fusion of Histology and Spatial Transcriptomics for Cancer Region Detection

arXiv Mar 6, 2026
Accurate detection of cancer tissue regions (CTR) enables deeper analysis of the tumor microenvironment and offers crucial insights into treatment response. Traditional CTR detection methods, which typically rely on the rich cellular morphology in hi... read more 
Computer Vision and Pattern Recognition

Adaptive Language-Aware Image Reflection Removal Network

arXiv Mar 6, 2026
Existing image reflection removal methods struggle to handle complex reflections. Accurate language descriptions can help the model understand the image content to remove complex reflections. However, due to blurred and distorted interferences in ref... read more 
Computer Vision and Pattern Recognition

Topological descriptors of foot clearance gait dynamics improve differential diagnosis of Parkinsonism

arXiv Mar 6, 2026
Differential diagnosis among parkinsonian syndromes remains a clinical challenge due to overlapping motor symptoms and subtle gait abnormalities. Accurate differentiation is crucial for treatment planning and prognosis. While gait analysis is a well ... read more 
Machine Learning stat.AP

Cut to the Chase: Training-free Multimodal Summarization via Chain-of-Events

arXiv Mar 6, 2026
Multimodal Summarization (MMS) aims to generate concise textual summaries by understanding and integrating information across videos, transcripts, and images. However, existing approaches still suffer from three main challenges: (1) reliance on domai... read more 
Computer Vision and Pattern Recognition cs.AI

GazeMoE: Perception of Gaze Target with Mixture-of-Experts

arXiv Mar 6, 2026
Estimating human gaze target from visible images is a critical task for robots to understand human attention, yet the development of generalizable neural architectures and training paradigms remains challenging. While recent advances in pre-trained v... read more 
Computer Vision and Pattern Recognition cs.AI

ODD-SEC: Onboard Drone Detection with a Spinning Event Camera

arXiv Mar 6, 2026
The rapid proliferation of drones requires balancing innovation with regulation. To address security and privacy concerns, techniques for drone detection have attracted significant attention.Passive solutions, such as frame camera-based systems, offe... read more 
Computer Vision and Pattern Recognition
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