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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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Blood pressure monitoring is key in aortic dissection.

Blood pressure (BP) control is essential for both the prevention and long-term management of aortic ...

The risk factors for relapse behavior in individuals with substance use disorders: An interpretable machine learning study.

BACKGROUND: Substance abuse has become a serious public health problem worldwide, and finding effect...

Evaluating the usability of an HIV-prevention artificial intelligence chatbot in Malaysia: national observational study.

BACKGROUND: Malaysia, an upper middle-income country in the Asia-Pacific region, has an HIV epidemic...

Interpretable niche-based cell‒cell communication inference using multi-view graph neural networks.

Cell‒cell communication (CCC) is a fundamental biological process for the harmonious functioning of ...

Vessel-Like Microtunnels with Biomimetic Octopus Tentacles for Seizing and Detecting Exosomes to Diagnose Pancreatic Cancer.

Microchip-based exosome analysis has emerged as a promising approach for liquid biopsy in cancer dia...

Is Interaction Between Human and Artificial Intelligence-Driven Agents (Para)Social? A Scoping Review.

Despite the growing presence of artificial intelligence (AI)-based agents in human daily life, there...

Automated analysis of clinical interviews indicates altered head movements during social interactions in youth at clinical high-risk for psychosis.

Alterations in social functioning are commonly observed in youth at clinical high risk (CHR) for psy...

Anomaly detection using machine learning and adopted digital twin concepts in radio environments.

Reliable and secure wireless communication is essential in Industry 4.0. This work presents an anoma...

FedCVG: a two-stage robust federated learning optimization algorithm.

Federated learning provides an effective solution to the data privacy issue in distributed machine l...

Bi directional sparse attention recurrent autoencoder based intrusion detection for VANET security with tuna swarm optimization.

Vehicular Ad-hoc Networks (VANETs) have garnered a lot of consideration and research in last decades...

Burn disasters in North Carolina: An Analysis of Four Major Incidents with a Look to the Future.

This paper examines the medical response to four significant burn disasters in the North Carolina: t...

Deep ensemble framework with Bayesian optimization for multi-lesion recognition in capsule endoscopy images.

In order to address the challenges posed by the large number of images acquired during wireless caps...

Dynamic event-triggered adaptive control for electro-hydraulic servomechanism.

This paper investigates the adaptive robust control of electro-hydraulic servomechanisms subject to ...

A Wearable Ultra-Low-Power System for EEG-based Speech-Imagery Interfaces.

Speech imagery-the process of mentally simulating speech without vocalization-is a promising approac...

Comparison of anatomy image generation capability in AI image generation models.

The advancement of artificial intelligence (AI) has significantly impacted various fields, and in re...

Consensus synchronization via quantized iterative learning for coupled fractional-order time-delayed competitive neural networks with input sharing.

This paper presents the D-type distributed iterative learning control protocol to synchronize fracti...

Apnea detection using wrist actigraphy in patients with heterogeneous sleep disorders.

Obstructive sleep apnea (OSA) and related hypoxia are well-established cardiovascular and neurocogni...

ESR Essentials: a step-by-step guide of segmentation for radiologists-practice recommendations by the European Society of Medical Imaging Informatics.

High-quality segmentation is important for AI-driven radiological research and clinical practice, wi...

Public views on research with publicly available data in Switzerland: Implications for digital research, science communication, and policy.

The increasing volume of publicly available data brought about by digitalization offers researchers ...

Quality in science communication with communicative artificial intelligence: A principle-based framework.

The rapid advancement of communicative artificial intelligence (ComAI) is profoundly impacting scien...

The silent epidemic of non-adherence - insights from the 2024 a:care congress.

Medication non-adherence is a global challenge with profound implications for patient health outcome...

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