Artificial Intelligence Medical Compendium

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

Showing 511 to 520 of 213,137 articles

TAP-RAG: Task-Aware Policy Control for Long-Document Multimodal Question Answering

arXiv Jul 21, 2026
Long-document multimodal question answering requires more than retrieving relevant chunks from a large document. Different queries require different evidence behavior. Existing multimodal RAG systems improve evidence access through text chunks, page ... read more 
Computer Vision and Pattern Recognition

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation

arXiv Jul 21, 2026
Recent advances in image-to-video generation have improved visual realism, making physically grounded and controllable dynamics an important step toward future world simulation. Current models often generate plausible motion, but it is not reliably... read more 
Computer Vision and Pattern Recognition

NGPS: GPS-Denied Aerial Geo-Localization and 2.5D Reconstruction via Deep Satellite Image Matching and Multi-Rate Sensor Fusion

arXiv Jul 21, 2026
We present NGPS (Next-Generation Positioning System), a visual geo-localization framework for high-altitude UAVs that provides GPS-free absolute positioning by matching down-facing images to georeferenced satellite imagery with deep features. The sys... read more 
Robotics cs.CV

Dual Adversarial Fine-tuning for Enhancing Robustness of Large Vision Language Model

arXiv Jul 21, 2026
While Large Vision-Language Models (LVLMs), represented by LLaVA and GPT-4V, have demonstrated remarkable capabilities, their visual inputs remain vulnerable to adversarial attacks, posing significant security risks. Existing defense methods predomin... read more 
Computer Vision and Pattern Recognition cs.AI

DobicVLM: Aligning Chest X-Ray Report Generation with Clinically-Grounded Programmatic Rewards via Group Relative Policy Optimization

arXiv Jul 21, 2026
Medical imaging is a cornerstone of diagnostics, yet automated chest X-ray report generation struggles with structural adherence, anatomical completeness, and semantic faithfulness. We introduce DobicVLM, a vision-language model combining supervised ... read more 
Computer Vision and Pattern Recognition

SWITi: Quantifying and Reducing Tiling Artifacts with Sliding Window Inner Tiling

arXiv Jul 21, 2026
SWITi is a test-time method for reducing artifacts in tiled predictions, particularly for neural networks that learn posterior distributions from which solutions are sampled at inference time. Tiled predictions are unavoidable for large image data, a... read more 
Computer Vision and Pattern Recognition cs.AI

Learning Semantic-Robust Change Detection via Semantic-Invariant Self-Distillation

arXiv Jul 21, 2026
Change detection aims to identify semantic changes between remote sensing images. However, features from models are easily disturbed by non-semantic variations, such as illumination, shadows, and atmospheric changes, leading to false alarms and limit... read more 
Computer Vision and Pattern Recognition

Biological Amnesia in ICU Time-Series Prediction: A Drift-Adaptive Two-Stream Architecture with Temporal Retrieval

arXiv Jul 21, 2026
Background: Clinical decision support systems degrade silently as treatment protocols evolve, yet standard adaptation methods treat models as monolithic blocks, unable to distinguish stable patient physiology from shifting institutional practice. Met... read more 
Machine Learning cs.AI cs.IR q-bio.QM

IMMoE: Incomplete Multi-View Anomaly Detection via Mixture of View Experts Fusion

arXiv Jul 21, 2026
Existing Multi-view Anomaly Detection (MAD) methods assume that all views are completely available and model each view separately. However, in real industrial scenarios, information in the view may be missing due to faults such as occlusion, which le... read more 
Computer Vision and Pattern Recognition

Gaze-DETR: Top-Down Guidance Through Priority Maps for Infrared Weak-Small UAV Detection with DETR

arXiv Jul 21, 2026
Infrared small target detection (ISTD) remains challenging because tiny, low-contrast targets are easily overwhelmed by clutter, noise, or occlusion. Conventional single-frame and multi-frame detectors rely on bounding-box supervision, which specifie... read more 
Computer Vision and Pattern Recognition
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