Artificial Intelligence Medical Compendium

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

Showing 23,971 to 23,980 of 217,366 articles

Human-Large Language Model collaboration for systematic ontology updates: a case study in the domain of dietary lifestyle.

Journal of the American Medical Informatics Association : JAMIA May 1, 2026
OBJECTIVES: To develop and evaluate a human-LLM (Large Language Model) collaborative approach for systematic ontology updating, demonstrated with the Dietary Lifestyle Ontology (DILON). MATERIALS AND METHODS: One hundred dietary questionnaire items f... read more 

VL-HTR: Learning Human-Target Representation From Vision-Language Model.

IEEE transactions on cybernetics May 1, 2026
Human-gaze-target prediction aims to predict the target point or object that humans are looking at in images. However, existing methods predominantly rely on vision-only features, which often struggle to capture the semantic context of small or occlu... read more 

Comparing ambient scribes: a randomized crossover clinical trial addressing ambient scribe technologies' impact on physician burnout.

Journal of the American Medical Informatics Association : JAMIA May 1, 2026
OBJECTIVE: This study aims to compare the effectiveness of 2 ambient AI scribe technologies in reducing physician burnout, improving workflow satisfaction, and enhancing documentation efficiency through a randomized crossover trial. MATERIALS AND MET... read more 

Evaluation of artificial intelligence generated immersive virtual reality simulation on skill mastery.

Journal of professional nursing : official journal of the American Association of Colleges of Nursing May 1, 2026
BACKGROUND: Nursing education faces challenges in providing nursing students with sufficient clinical site opportunities due to healthcare staffing shortages and faculty resource constraints. The decline in clinical opportunities has a negative impac... read more 

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration

arXiv May 1, 2026
Super-resolution (SR) techniques have made major advances in reconstructing high-resolution images from low-resolution inputs. The increased resolution provides visual enhancement and utility for monitoring tasks. In particular, SR has been increasin... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Online Self-Calibration Against Hallucination in Vision-Language Models

arXiv May 1, 2026
Large Vision-Language Models (LVLMs) often suffer from hallucinations, generating descriptions that include visual details absent from the input image. Recent preference alignment methods typically rely on supervision distilled from stronger models s... read more 
Computer Vision and Pattern Recognition cs.LG

Pose-Aware Diffusion for 3D Generation

arXiv May 1, 2026
Generating pose-aligned 3D objects is challenging due to the spatial mismatches and transformation ambiguities inherent in decoupled canonical-then-rotate paradigms. To this end, we introduce Pose-Aware Diffusion (PAD), a novel end-to-end diffusion f... read more 
Computer Vision and Pattern Recognition

CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction

arXiv May 1, 2026
``How long can I live and remain free of cancer?'' is often the first question a patient asks after receiving a cancer diagnosis and treatment. Accurate survival prediction helps alleviate psychological distress and supports risk stratification and p... read more 
Computer Vision and Pattern Recognition

Geometric analysis of attractor boundaries and storage capacity limits in kernel Hopfield networks

arXiv May 1, 2026
High-capacity associative memories based on Kernel Logistic Regression (KLR) exhibit strong storage capabilities, but the dynamical and geometric mechanisms underlying their stability remain poorly understood. This paper investigates the global geome... read more 
Neural and Evolutionary Computing cs.LG

SIMON: Saliency-aware Integrative Multi-view Object-centric Neural Decoding

arXiv May 1, 2026
Recent EEG-to-image retrieval methods leverage pretrained vision encoders and foveation-inspired priors, but typically assume a fixed, center-focused view. This center bias conflicts with content-driven human attention, creating a geometric-semantic ... read more 
Computer Vision and Pattern Recognition q-bio.NC
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