Artificial Intelligence Medical Compendium

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

Showing 39,011 to 39,020 of 223,469 articles

challenging synchronization-based network reconstruction from time series: a critical evaluation using Fitzhugh-Nagumo neural networks.

Biological cybernetics Mar 24, 2026
The reconstruction of complex networks from time series data has become a common practice in neuroscience and dynamical systems, particularly using synchronization-based measures such as phase locking value (PLV) or correlation. However, the validity... read more 

Association of Music Therapy and Physiologic Indices in the Pediatric Cardiac Intensive Care Unit: Insights from Machine Learning and High-fidelity Physiologic Data.

Pediatric cardiology Mar 24, 2026
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Neuroimaging-driven recommendation systems for personalized sports training and injury prevention.

Scientific reports Mar 24, 2026
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Wearable sensor big data analysis reveals spatiotemporal injury patterns in professional tennis players.

Scientific reports Mar 24, 2026
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Enhancing few-shot personalized cuffless blood pressure estimation with self-supervised learning.

Physiological measurement Mar 24, 2026
Objective.Individual differences across subjects reduce the accuracy of physiological signal-based cuffless blood pressure (BP) estimation. However, training a personalized model with a large amount of data is impractical. This study aims to learn a ... read more 

Risk prediction tools in multiple long-term conditions management: a qualitative study.

The British journal of general practice : the journal of the Royal College of General Practitioners Mar 24, 2026
BACKGROUND: Risk stratification is integral to providing good care, but its value in managing patients with multiple long-term conditions (MLTC) remains uncertain. AIM: To explore the perspectives of healthcare professionals, patients, and carers on ... read more 

OccAny: Generalized Unconstrained Urban 3D Occupancy

arXiv Mar 24, 2026
Relying on in-domain annotations and precise sensor-rig priors, existing 3D occupancy prediction methods are limited in both scalability and out-of-domain generalization. While recent visual geometry foundation models exhibit strong generalization ca... read more 
Computer Vision and Pattern Recognition

MedObvious: Exposing the Medical Moravec's Paradox in VLMs via Clinical Triage

arXiv Mar 24, 2026
Vision Language Models (VLMs) are increasingly used for tasks like medical report generation and visual question answering. However, fluent diagnostic text does not guarantee safe visual understanding. In clinical practice, interpretation begins with... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL

UniGRPO: Unified Policy Optimization for Reasoning-Driven Visual Generation

arXiv Mar 24, 2026
Unified models capable of interleaved generation have emerged as a promising paradigm, with the community increasingly converging on autoregressive modeling for text and flow matching for image generation. To advance this direction, we propose a unif... read more 
Computer Vision and Pattern Recognition

DA-Flow: Degradation-Aware Optical Flow Estimation with Diffusion Models

arXiv Mar 24, 2026
Optical flow models trained on high-quality data often degrade severely when confronted with real-world corruptions such as blur, noise, and compression artifacts. To overcome this limitation, we formulate Degradation-Aware Optical Flow, a new task t... read more 
Computer Vision and Pattern Recognition
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