Artificial Intelligence Medical Compendium

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

Showing 21,551 to 21,560 of 216,348 articles

The Cost of Context: Mitigating Textual Bias in Multimodal Retrieval-Augmented Generation

arXiv May 7, 2026
While Multimodal Large Language Models (MLLMs) are increasingly integrated with Retrieval-Augmented Generation (RAG) to mitigate hallucinations, the introduction of external documents can conceal severe failure modes at the instance level. We identif... read more 
Computation and Language cs.CV cs.LG

RAM-H1200: A Unified Evaluation and Dataset on Hand Radiographs for Rheumatoid Arthritis

arXiv May 7, 2026
Rheumatoid arthritis (RA) assessment from hand radiographs requires multi-level analysis and modeling of anatomical structures and fine-grained local pathological changes. However, existing public resources do not support such unified multi-level ana... read more 
Computer Vision and Pattern Recognition cs.LG

Leveraging Image Generators to Address Training Data Scarcity: The Gen4Regen Dataset for Forest Regeneration Mapping

arXiv May 7, 2026
Sustainable forest management relies on precise species composition mapping, yet traditional ground surveys are labour-intensive and geographically constrained. While Uncrewed Aerial Vehicles (UAVs) offer scalable data collection, the transition to d... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.RO

AffectSeek: Agentic Affective Understanding in Long Videos under Vague User Queries

arXiv May 7, 2026
Existing affective understanding studies have mainly focused on recognizing emotions from images, audio signals, or pre-cliped video clips, where the affective evidence is already given. This passive and clip-centered setting does not fully reflect r... read more 
Computer Vision and Pattern Recognition

Sparse-to-Complete: From Sparse Image Captures to Complete 3D Scenes

arXiv May 7, 2026
We introduce S2C-3D, a novel sparse-view 3D reconstruction framework for high-fidelity and complete scene reconstruction from as few as six to eight images. Our framework features three components: a specialized diffusion model for scene-specific ima... read more 
Computer Vision and Pattern Recognition

R2H-Diff: Guided Spectral Diffusion Model for RGB-to-Hyperspectral Reconstruction

arXiv May 7, 2026
RGB-to-hyperspectral image reconstruction is a highly ill-posed inverse problem, since multiple plausible spectral distributions may correspond to the same RGB observation. Existing regression-based methods usually learn a deterministic mapping, whic... read more 
Computer Vision and Pattern Recognition

Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes

arXiv May 7, 2026
Can linearly decodable failure signals in LLM hidden states be leveraged to correct those failures? We investigate this classification-correction gap via Overthinking (OT)--a stable behavioral regime (Jaccard >= 0.81, 94% inter-annotator agreement) i... read more 
Artificial Intelligence cs.CL cs.LG

Enabling Federated Inference via Unsupervised Consensus Embedding

arXiv May 7, 2026
Cooperative inference across independently deployed machine learning models is increasingly desirable in distributed environments, as there is a growing need to leverage multiple models while keeping their data and model parameters private. However, ... read more 
Machine Learning

Knee Osteoarthritis Severity Grading Using Optimized Deep Learning and LLM-Driven Intelligent AI on Computationally Limited Systems

arXiv May 7, 2026
Knee osteoarthritis (KOA) is among the musculoskeletal disorders that considerably restrict joint mobility, cause severe chronic pain and impact negatively on quality life. It is one of the persistent health issues worldwide. Generally, subjectivity ... read more 
Artificial Intelligence

Evaluating Explainability in Safety-Critical ATR Systems: Limitations of Post-Hoc Methods and Paths Toward Robust XAI

arXiv May 7, 2026
Explainable Artificial Intelligence (XAI) is increasingly rec ognized as essential for deploying machine learning systems in safety critical environments. In Automatic Target Recognition (ATR), where models operate on image, video, radar, and multise... read more 
Artificial Intelligence
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