Artificial Intelligence Medical Compendium

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

Showing 38,171 to 38,180 of 223,469 articles

Methods for Knowledge Graph Construction from Text Collections: Development and Applications

arXiv Mar 26, 2026
Virtually every sector of society is experiencing a dramatic growth in the volume of unstructured textual data that is generated and published, from news and social media online interactions, through open access scholarly communications and observati... read more 
Computation and Language cs.AI

GUIDE: A Benchmark for Understanding and Assisting Users in Open-Ended GUI Tasks

arXiv Mar 26, 2026
Graphical User Interface (GUI) agents have the potential to assist users in interacting with complex software (e.g., PowerPoint, Photoshop). While prior research has primarily focused on automating user actions through clicks and keystrokes, this par... read more 
Computer Vision and Pattern Recognition cs.AI cs.HC

Seeing Through Smoke: Surgical Desmoking for Improved Visual Perception

arXiv Mar 26, 2026
Minimally invasive and robot-assisted surgery relies heavily on endoscopic imaging, yet surgical smoke produced by electrocautery and vessel-sealing instruments can severely degrade visual perception and hinder vision-based functionalities. We presen... read more 
Computer Vision and Pattern Recognition

Learning to Recorrupt: Noise Distribution Agnostic Self-Supervised Image Denoising

arXiv Mar 26, 2026
Self-supervised image denoising methods have traditionally relied on either architectural constraints or specialized loss functions that require prior knowledge of the noise distribution to avoid the trivial identity mapping. Among these, approaches ... read more 
Image and Video Processing cs.CV stat.ML

Automated Quality Assessment of Blind Sweep Obstetric Ultrasound for Improved Diagnosis

arXiv Mar 26, 2026
Blind Sweep Obstetric Ultrasound (BSOU) enables scalable fetal imaging in low-resource settings by allowing minimally trained operators to acquire standardized sweep videos for automated Artificial Intelligence(AI) interpretation. However, the reliab... read more 
Computer Vision and Pattern Recognition

Few Shots Text to Image Retrieval: New Benchmarking Dataset and Optimization Methods

arXiv Mar 26, 2026
Pre-trained vision-language models (VLMs) excel in multimodal tasks, commonly encoding images as embedding vectors for storage in databases and retrieval via approximate nearest neighbor search (ANNS). However, these models struggle with compositiona... read more 
Computer Vision and Pattern Recognition

Preventing Data Leakage in EEG-Based Survival Prediction: A Two-Stage Embedding and Transformer Framework

arXiv Mar 26, 2026
Deep learning models have shown promise in EEG-based outcome prediction for comatose patients after cardiac arrest, but their reliability is often compromised by subtle forms of data leakage. In particular, when long EEG recordings are segmented into... read more 
Machine Learning

Good Scores, Bad Data: A Metric for Multimodal Coherence

arXiv Mar 26, 2026
Multimodal AI systems are evaluated by downstream task accuracy, but high accuracy does not mean the underlying data is coherent. A model can score well on Visual Question Answering (VQA) while its inputs contradict each other. We introduce the Multi... read more 
Computer Vision and Pattern Recognition cs.AI

DenseSwinV2: Channel Attentive Dual Branch CNN Transformer Learning for Cassava Leaf Disease Classification

arXiv Mar 26, 2026
This work presents a new Hybrid Dense SwinV2, a two-branch framework that jointly leverages densely connected convolutional features and hierarchical customized Swin Transformer V2 (SwinV2) representations for cassava disease classification. The prop... read more 
Computer Vision and Pattern Recognition cs.AI

Can Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned

arXiv Mar 26, 2026
Visual Navigation Models (VNMs) promise generalizable, robot navigation by learning from large-scale visual demonstrations. Despite growing real-world deployment, existing evaluations rely almost exclusively on success rate, whether the robot reaches... read more 
Robotics cs.LG
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