Prevention of medical errors

Machine translation of standardised medical terminology using natural language processing: A scoping review.

Standardised medical terminologies are used to ensure accurate and consistent communication of infor...

Review of Performance Improvement of a Noninvasive Brain-computer Interface in Communication and Motor Control for Clinical Applications.

Brain-computer interfaces (BCI) enable direct communication between the brain and a computer or othe...

Innovations in surgical training: exploring the role of artificial intelligence and large language models (LLM).

The landscape of surgical training is rapidly evolving with the advent of artificial intelligence (A...

Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model.

Every one of us has a unique manner of communicating to explore the world, and such communication he...

Application of Intelligent Medical Sensing Technology.

With the popularization of intelligent sensing and the improvement of modern medical technology, int...

Finite/fixed-time synchronization of inertial memristive neural networks by interval matrix method for secure communication.

This paper investigates the finite/fixed-time synchronization problem of delayed inertial memristive...

Leveraging Artificial Intelligence for Professional Email Communication.

Fairness of artificial intelligence in healthcare: review and recommendations.

In this review, we address the issue of fairness in the clinical integration of artificial intellige...

The communication path and improvement strategy of symbolic culture of sneaker consumption culture using the big data analysis.

With the emergence of Artificial Intelligence technology and the advancement of science and technolo...

Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives.

Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that primarily involve...

Identification of key genes in spontaneous cerebral hemorrhage and prevention of disease damage: LASSO and SVM regression.

Prevention is more important than treatment, and the incidence of intracerebral hemorrhage can be ef...

Individual health-disease phase diagrams for disease prevention based on machine learning.

Early disease detection and prevention methods based on effective interventions are gaining attentio...

An Acoustical and Lexical Machine-Learning Pipeline to Identify .

Developing scalable methods for conversation analytics is essential for health care communication s...

Using machine learning to decode animal communication.

New methods promise transformative insights and conservation benefits.

Prevention of urinary tract infection using a silver alloy hydrogel-coated catheter in critically ill patients: A single-center prospective randomized controlled study.

BACKGROUND: A new type of silver alloy hydrogel-coated (SAH) catheter has been shown to prevent bact...

The use of artificial intelligence (AI) to enhance academic communication, education and research: a balanced approach.

Much has been written about the concerns surrounding artificial intelligence (AI). This article look...

Types, functions and mechanisms of robot-assisted intervention for fall prevention: A systematic scoping review.

BACKGROUND: Any individual may experience accidental falls, particularly older adults. Although robo...

Analysis of ultrasonographic images using a deep learning-based model as ancillary diagnostic tool for diagnosing gallbladder polyps.

BACKGROUND: Accurately diagnosing gallbladder polyps (GBPs) is important to avoid misdiagnosis and o...

Multi-Task Distributed Learning Using Vision Transformer With Random Patch Permutation.

The widespread application of artificial intelligence in health research is currently hampered by li...

Learning Attentional Communication with a Common Network for Multiagent Reinforcement Learning.

For multiagent communication and cooperation tasks in partially observable environments, most of the...

New possibilities for medical support systems utilizing artificial intelligence (AI) and data platforms.

In Japan, there is a growing initiative to construct centralized databases and platforms that can ag...