Artificial Intelligence Medical Compendium

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

Showing 21,731 to 21,740 of 216,627 articles

Deep Learning-Enhanced TopoStats for the Automated Quantification of DNA and Complex Biomolecular Structures

bioRxiv May 7, 2026
Atomic force microscopy (AFM) enables nanometre-scale, label-free imaging of biomolecules and surfaces under near-native conditions, yet quantitative analysis of AFM data remains limited compared to other bioimaging modalities. This limitation largel... read more 
biophysics

Multimorbidity increases susceptibility to myocardial injury following cardiac surgery via dysregulated macrophage activation and the development of a cardiomyopathy phenotype

medRxiv May 7, 2026
Background: People with Multiple Long-Term Conditions (MLTC) experience higher rates of organ failure and death following cardiac surgery. The aim of this study was to identify disease processes in MLTC associated with increased susceptibility to org... read more 
cardiovascular medicine

Spatial remodeling of the urothelial carcinoma tumor microenvironment shapes response to neoadjuvant atezolizumab

medRxiv May 7, 2026
The ABACUS study was a single arm, phase II trial evaluating neoadjuvant atezolizumab in operable urothelial carcinoma. Initial bulk transcriptomic and immunohistochemistry analyses suggested links between immune activation, tissue remodeling, and re... read more 
oncology

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
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