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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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Showing 1261-1281 of 5,107 articles
Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications

This paper provides an in-depth characterization of GPU-accelerated systems, to understand the int...

A Late Collaborative Perception Framework for 3D Multi-Object and Multi-Source Association and Fusion

In autonomous driving, recent research has increasingly focused on collaborative perception based ...

PAL: Designing Conversational Agents as Scalable, Cooperative Patient Simulators for Palliative-Care Training

Effective communication in serious illness and palliative care is essential but often under-taught...

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access

With the booming development of generative artificial intelligence (GAI), semantic communication (...

AI Meets Maritime Training: Precision Analytics for Enhanced Safety and Performance

Traditional simulator-based training for maritime professionals is critical for ensuring safety at...

ZeCO: Zero Communication Overhead Sequence Parallelism for Linear Attention

Linear attention mechanisms deliver significant advantages for Large Language Models (LLMs) by pro...

Machine learning approaches for classifying major depressive disorder using biological and neuropsychological markers: A meta-analysis.

Traditional diagnostic methods for major depressive disorder (MDD), which rely on subjective assessm...

Jul 2025 40354957
PrivCore: Multiplication-activation co-reduction for efficient private inference.

The marriage of deep neural network (DNN) and secure 2-party computation (2PC) enables private infer...

Jul 2025 40054024
Learn the global prompt in the low-rank tensor space for heterogeneous federated learning.

Federated learning collaborates with multiple clients to train a global model, enhancing the model g...

Jul 2025 40058178
ADAMT: Adaptive distributed multi-task learning for efficient image recognition in Mobile Ad-hoc Networks.

Distributed machine learning in mobile adhoc networks faces significant challenges due to the limite...

Jul 2025 40073619
Feature-Tuning Hierarchical Transformer via token communication and sample aggregation constraint for object re-identification.

Recently, transformer-based methods have shown remarkable success in object re-identification. Howev...

Jul 2025 40120549
EEG-Based Auditory BCI for Communication in a Completely Locked-In Patient Using Volitional Frequency Band Modulation

Patients with amyotrophic lateral sclerosis (ALS) in the completely locked-in state (CLIS) can los...

Equitable Federated Learning with NCA

Federated Learning (FL) is enabling collaborative model training across institutions without shari...

Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine

Technological progress has led to concrete advancements in tasks that were regarded as challenging...

Communicating Smartly in Molecular Communication Environments: Neural Networks in the Internet of Bio-Nano Things

Recent developments in the Internet of Bio-Nano Things (IoBNT) are laying the groundwork for innov...

MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment

Positron Emission Tomography / Computed Tomography (PET/CT) plays a critical role in medical imagi...

[Association between gut microbiota and hyperuricemia: insights into innovative therapeutic strategies].

Uric acid (UA) is the final metabolite of purines in the human body. An imbalance in UA production a...

Jun 2025 40550671
Systems-Theoretic and Data-Driven Security Analysis in ML-enabled Medical Devices

The integration of AI/ML into medical devices is rapidly transforming healthcare by enhancing diag...

HARMONY: A Scalable Distributed Vector Database for High-Throughput Approximate Nearest Neighbor Search

Approximate Nearest Neighbor Search (ANNS) is essential for various data-intensive applications, i...

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