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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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An ensemble of deep representation learning with metaheuristic optimisation algorithm for critical health monitoring using internet of medical things.

The Internet of Things (IoT) plays a significant part in the healthcare field. The growth of smart d...

A two-step joint model based on deep learning realizes intelligent recognition of exfoliated cells in serous effusion.

Cytological examination of serous effusion is critical for diagnosing malignancies, yet it heavily r...

Collaborative and privacy-preserving cross-vendor united diagnostic imaging via server-rotating federated machine learning.

Federated Learning (FL) is a distributed framework that enables collaborative training of a server m...

Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis.

Pain-related discussions on social media provide valuable insights into how people naturally express...

Patient Preferences for Artificial Intelligence in Medical Imaging: A Single-Center Cross-Sectional Survey.

Artificial Intelligence (AI) is rapidly being implemented into clinical practice to improve diagnost...

Proactive care architecture for care robots.

Care robots have been developed to address the shortage of human caregivers in aging societies facin...

Reducing bias in coronary heart disease prediction using Smote-ENN and PCA.

Coronary heart disease (CHD) is a major cardiovascular disorder that poses significant threats to gl...

Regression machine learning-based highly efficient dual band MIMO antenna design for mm-Wave 5G application and gain prediction.

With the exponential growth of wireless communication systems, the need for compact, high-performanc...

Adaptive fusion of multi-cultural visual elements using deep learning in cross-cultural visual communication design.

This paper presents a novel deep learning approach for the adaptive fusion of multicultural visual e...

Generating targeted and tailored health communication narratives with AI.

Customized narratives are effective tools to promote risk prevention behaviors in populations. Howev...

Risk assessment of corn borer based on feature optimization and weighted spatial clustering: a case study in Shandong Province, China.

As a typical pest affecting corn yield and safety, corn borer causes serious economic losses worldwi...

Technological Solutions to Improve Inpatient Handover in the Era of Artificial Intelligence: Scoping Review.

BACKGROUND: Clinical care globally faces increasing strain due to escalating documentation demands. ...

Digital Therapeutics in Cardiovascular Healthcare: A Narrative Review.

The rapid development of digital therapeutics (DTx) presents opportunities for cardiovascular diseas...

AI-directed voxel extraction and volume EM identify intrusions as sites of mitochondrial contact.

Membrane contact sites (MCSs) establish organelle interactomes in cells to enable communication and ...

AI search, physician removal: Bronchoscopy robot bridges collaboration in foreign body aspiration.

Bronchial foreign body aspiration is a life-threatening condition with a high incidence across diver...

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