Prevention of medical errors

Single Shot Multibox Detector Automatic Polyp Detection Network Based on Gastrointestinal Endoscopic Images.

PURPOSE: In order to resolve the situation of high missed diagnosis rate and high misdiagnosis rate of the pathological analysis of the gastrointestinal endoscopic images by experts, we propose an automatic polyp detection algorithm based on Single Shot Multibox Detector (SSD).

Enriching Human-Robot Interaction with Mobile App in Interventions of Children with Autism Spectrum Disorder.

: Autism spectrum disorder (ASD) is a group of complex lifelong neurodevelopmental disorders, characterized by difficulties in social communication and stereotyped behaviours. Due to the increasing number of children with ASD, it is important to continue developing interventions as well as invent new ones. Human-robot interaction can contribute to better outcomes for these children. There are seve...

Social implementation of a remote surgery system in Japan: a field experiment using a newly developed surgical robot via a commercial network.

PURPOSE: In recent years, the expectations for telesurgery have grown with the development of robot-assisted surgical technology and advances in commu...

Incidence, Etiology, Prevention and Management of Ureteroenteric Strictures after Robot-Assisted Radical Cystectomy: A Review of Published Evidence and Personal Experience.

Benign ureteroenteric anastomosis strictures (UESs) are one of many critical complications that may cause irreversible disability following robot-assi...

A Novel Interference Avoidance Based on a Distributed Deep Learning Model for 5G-Enabled IoT.

The co-existence of fifth-generation (5G) and Internet-of-Things (IoT) has become inevitable in many applications since 5G networks have created stead...

Novel Computer-Aided Diagnosis Software for the Prevention of Retained Surgical Items.

BACKGROUND: Retained surgical items are a serious human error. Surgical sponges account for 70% of retained surgical items. To prevent retained surgic...

Predicting the Risk of Hypertension Based on Several Easy-to-Collect Risk Factors: A Machine Learning Method.

Hypertension is a widespread chronic disease. Risk prediction of hypertension is an intervention that contributes to the early prevention and manageme...

Enhancing 5G Small Cell Selection: A Neural Network and IoV-Based Approach.

The ultra-dense network (UDN) is one of the key technologies in fifth generation (5G) networks. It is used to enhance the system capacity issue by dep...

Using Appreciative Inquiry to explore the effect of COVID-19 on student trust: medical students' perspective.

This article was migrated. The article was marked as recommended. Background Students' anxiety due to the COVID-19 pandemic was expressed by some medi...

Brain emotional learning impedance control of uncertain nonlinear systems with time delay: Experiments on a hybrid elastic joint robot in telesurgery.

Telesurgical robot control is a significant example of an uncertain nonlinear system, as it involves various complexities, including unknown master/sl...

Deep Integration of Physical Health Education Based on Intelligent Communication Technology.

In recent years, intelligent medical communication technology has developed rapidly, and the advancement of hardware technology has accelerated the de...

A New General Maximum Intensity Projection Technology via the Hybrid of U-Net and Radial Basis Function Neural Network.

Maximum intensity projection (MIP) technology is a computer visualization method that projects three-dimensional spatial data on a visualization plane...

AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove.

Sign language recognition, especially the sentence recognition, is of great significance for lowering the communication barrier between the hearing/sp...

Multi-parametric MRI phenotype with trustworthy machine learning for differentiating CNS demyelinating diseases.

BACKGROUND: Misdiagnosis of multiple sclerosis (MS) and neuromyelitis optica (NMO) may delay the treatment, resulting in poor prognosis. However, the ...

Investigating yielding behavior of heterogeneous vehicles at a semi-controlled crosswalk.

It is well known that pedestrians are vulnerable road users. Their risk of being injured or killed in road traffic crashes is even higher as vehicle d...

Artificial Intelligence for Identifying the Prevention of Medication Incidents Causing Serious or Moderate Harm: An Analysis Using Incident Reporters' Views.

The purpose of this study was to describe incident reporters' views identified by artificial intelligence concerning the prevention of medication inci...

Artificial Intelligence Algorithm with ICD Coding Technology Guided by the Embedded Electronic Medical Record System in Medical Record Information Management.

The study aims to explore the application of international classification of diseases (ICD) coding technology and embedded electronic medical record (...

Benzo[]thiazole-2-thiol bearing 2-oxo-2-substituted-phenylethan-1-yl as potent selective quorum sensing inhibitors of Gram-negative bacteria.

Quorum sensing is a well-known term for describing bacterial cell-cell communication. Bacteria use quorum sensing pathways to respond to external fact...

Robot Transparency and Anthropomorphic Attribute Effects on Human-Robot Interactions.

Anthropomorphic robots need to maintain effective and emotive communication with humans as automotive agents to establish and maintain effective human...

Ethical impact of suboptimal referrals on delivery of care in radiology department.

The referral is the key source of information that enables radiologists and radiographers to provide quality services. However, the frequency of subop...