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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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EDIT-B Consortium: An External Pan-European Validation of an Innovative Machine Learning-Based Test for Bipolar Disorder Diagnosis

Background Differentiating bipolar disorder (BD) from major depressive disorder (MDD) during major d...

(6)
Language Carries the Expert's Impression: Instrument-Anchored LLM Judges Transfer Counseling-Quality Assessment and Beat In-Domain Training

Automatic assessment of communication quality in dyadic counseling conversations is bottlenecked by ...

End-to-End Optical Semantic Communication over a Nonlinear WDM Fiber Link

Emerging optical-network applications increasingly use received data for inference and control rathe...

Adaptive Pilot Selection for Unified Semantic Communication and Semantic Sensing in ISAC

Semantic communication (SemCom) and integrated sensing and communication (ISAC) are promising techno...

FedHisto-PAST: Parameter-Efficient Stain-Aware Federated Learning for Cross-Site Lung Histopathology Classification

Cross-site lung histopathology classification must account for stain variation, non-IID client data,...

(1)
Latent Telepathy: Multi-Robot Communication with Self-Supervised Perceptual Latents

In a decentralized multi-robot team under partial observability, the fact that decides a robot's nex...

Validating LLM judges for automated oversight of patient communication

LLMs are increasingly used to mediate patient communication, yet scalable evaluation of their safety...

Adaptive Bayesian Partner Selection for Federated Clinical Centers

Federated learning (FL) in healthcare faces pronounced heterogeneity and temporal concept drift acro...

Computational Phenotypes for Temporomandibular and Orofacial Pain Disorders

Background: Temporomandibular disorders (TMDs) and orofacial pain (OFP) conditions affect approximat...

Foundation Models for Generalizable Semantic and Goal-Oriented Communication

Semantic and goal-oriented communication is increasingly studied for 6G, but generalization beyond s...

Coupled Control and Wireless World Models for Resilient Remote Robotic Control

Remote robotic systems operating over wireless networks must maintain reliable control despite limit...

GAN-Based Semantic Communication for Image Transmission in IoV

For cooperative perception in the internet of vehicles, this paper proposes a generative adversarial...

NeuroFLAME: A Scalable, Privacy-Preserving Federated Framework for Secure, Reproducible, and Multi-Site Neuroimaging Analysis

Federated analysis offers a scalable approach to multi-site neuroimaging research by enabling distri...

(3)
Intent Drift in LLM-Assisted Brain Computer Interface Communication: An In-Silico Benchmark Under Simulated Decoder Corruption

Background Large language models are increasingly proposed to post-edit decoded text in communicatio...

Token-Oriented Semantic Communication with Pretrained Vision Transformers

Token communications realize the semantic communication principle at the granularity of transformer ...

Saliency-Depth Conditioning for Zero-Shot Segmentation of Communication-Tower Components in Cluttered UAV Imagery

Fine-grained segmentation of communication-tower components in UAV imagery is essential for automate...

CCIDeconv: Hierarchical model for deconvolution of subcellular cell-cell interactions in single-cell data

Cell-cell interaction (CCI) underlies several fundamental biological processes, including developmen...

G-CARL: Grounded Checklist-Aligned Reward Learning for Patient-Oriented Medical Report Interpretation

Personalized interpretation of medical reports has emerged as an increasingly important need among p...

Adaptive Multi-Agent Feature Selection for Personalized Fall Risk Prevention

Falls among older adults represent a major public health challenge driven by complex, time-varying i...

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