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Prevention of medical errors

Latest AI and machine learning research in prevention of medical errors for healthcare professionals.

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Hybrid Quantum-inspired Kolmogorov-Arnold Networks for Privacy-Aware Federated Biosignal Learning

Electrocardiogram (ECG) recordings are sensitive biomedical data, limiting the ability of hospitals ...

Making Broad Evidence Synthesis Feasible: An LLM Screening Agent for Meta-Analyses Applied To Suicide Prevention

Importance. Systematic reviews and meta-analyses inform suicide-prevention policy and practice, but ...

Towards Physics-Faithful Generation of Scientific Diagrams

Text-to-image generation has reached photorealistic quality, yet state-of-the-art systems remain unr...

SpSYRK: Half the Work in Distributed Sparse Matrix Multiplication

The symmetric rank-$k$ update (SYRK), $\C = \A\A^\top$, computes the dot product between each pair o...

BirdCODE: Detecting bird communication at scale

Deep learning-based animal sound identification is regularly applied to large audio datasets for eco...

On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing

Federated learning (FL) enables collaborative training of deep learning models across decentralized ...

Federated generative event models for tokenized electronic health records

Electronic health record foundation models are limited by institutionally siloed data and substantia...

Interpretable Machine Learning Model of Receptor Dynamics Reveals AT1R Allostery and a Negative Allosteric Modulator

Allosteric modulation of G protein-coupled receptors (GPCRs) offers major advantages in receptor sel...

TELLER: Non-intrusive Cross-Layer Root-Cause Analysis for LLM Inference

Large language model (LLM) inference has evolved from an offline workload into a continuously operat...

Technological Advances in Detecting and Managing Cognitive Impairment in Older Adults: Trends, Challenges, and Future Directions

As populations age, cognitive decline from mild cognitive impairment (MCI) to dementia is a defining...

Myopia Prevention and Control 3.0: Artificial Intelligence--Driven Risk Stratification, Proactive Monitoring, and Personalized Intervention

The convergence of artificial intelligence (AI), digital sensing, and ubiquitous computing has creat...

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification

Federated learning (FL) enables multiple clinical institutions to collaboratively train a shared dis...

Remote Awareness of Seafloor Images Collected by AUVs over Low-Bandwidth Communication Links

This paper introduces a method for real-time processing and transmission of autonomous underwater ve...

Toward Semantic Communication for Real-time Mobile 3D Reconstruction

Real-time mobile 3D reconstruction is fundamental to many emerging applications such as autonomous n...

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning

One-shot federated learning (OSFL) addresses the communication overhead of federated learning by lim...

BOUNDARY_SYNC: Measuring Communication-Induced Representational Coupling in Multi-Agent LLM Systems

As large language models (LLMs) are deployed as communicating agents, does inter-agent communication...

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