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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 22-42 of 6,309 articles
Machine learning-based high-benefit approach versus traditional high-risk approach in statin therapy: the Shizuoka Kokuho database study.

Statins are widely prescribed for the primary prevention of cardiovascular diseases, yet individual ...

A dual input dual spliced network with data augmentation for robust modulation recognition in communication countermeasures.

In the realm of communication reconnaissance, the accuracy of modulation recognition is of paramount...

Cognitive link adaptation via modulation scheme classification in narrowband networks under AWGN and SUI channel conditions.

The demand for faster data transfer rates rises along with the number of mobile devices, such as sma...

Misfluencers, the Human Agents Behind AI-Driven Infodemics.

This article explores the intricate dynamics of "misfluencers," a term we defined to describe opinio...

Effect of a communication robot in the prevention of postoperative delirium in older persons: A randomized controlled trial.

Japan Clinical Trials Registry (jRCT) (URL: https://jrct.mhlw.go.jp; No. jRCT1030250018; date: April...

A Randomized Controlled Trial of a Deep Language Learning Model-Based Simulation Tool for Undergraduate Medical Students in Surgery.

INTRODUCTION: Effective communication is a critical skill for surgeons that commences often with his...

Diagnostic accuracy of artificial intelligence for obstructive sleep apnea detection: a systematic review.

BACKGROUND: Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder. Misdiagnosis might l...

Blockchain-enabled federated learning with edge analytics for secure and efficient electronic health records management.

The rapid adoption of Federated Learning (FL) in privacy-sensitive domains such as healthcare, IoT, ...

Infant rat ultrasonic vocalizations in the neurodevelopmental model of schizophrenia.

Schizophrenia is characterized by early brain developmental abnormalities resulting in, among others...

Patient Perspectives on Artificial Intelligence in Medical Imaging.

Artificial intelligence (AI) is reshaping medical imaging with the promise of improved diagnostic ac...

Development and validation of machine learning-based risk prediction models for ICU-acquired weakness: a prospective cohort study.

BACKGROUND: Intensive care unit (ICU)-acquired weakness (ICUAW) is a prevalent complication in criti...

Virtual patients, real conversations: ChatGPT advanced voice mode for pain communication training.

Across many healthcare disciplines, clinicians report feeling unprepared to treat and communicate e...

Patient Perspectives on Artificial Intelligence in Health Care: Focus Group Study for Diagnostic Communication and Tool Implementation.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming health care, offering potential ben...

Weapon detection with FMR-CNN and YOLOv8 for enhanced crime prevention and security.

In modern days, increasing weapon-related threats in public places have created an immediate need fo...

Deep learning framework based on ITOC optimization for coal spontaneous combustion temperature prediction: a coupled CNN-BiGRU-CBAM model.

Coal spontaneous combustion (CSC) poses a significant safety hazard in coal mines, requiring effecti...

Advanced feature engineering in Acute:Chronic Workload Ratio (ACWR) calculation for injury forecasting in elite soccer.

Controlling training monotony and monitoring external workload using the Acute:Chronic Workload Rati...

Multi-modal emotional analysis in customer relation management and enhancing communication through integrated affective computing.

An important part of customer relationship management (CRM) is being able to read emails for emotion...

Deep learning-based eye sign communication system for people with speech impairments.

: People with motor difficulties and speech impairments often struggle to communicate their needs an...

Diabetic foot prevention, assessment, and management using innovative smart wearable technology: a systematic review.

The diabetic foot (DF) is a chief culprit behind significant preventable morbidity and mortality in ...

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