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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 169-189 of 6,309 articles
Intercellular communication in the brain via dendritic nanotubular network.

Recent studies have identified intercellular networks for material exchange by bridge-like nanotubul...

Predicting the availability of power line communication nodes using semi-supervised learning algorithms.

Power Line Communication (PLC) facilitates the usage of power cables to transmit data. The issue is ...

A Comparison of Responses from Human Therapists and Large Language Model-Based Chatbots to Assess Therapeutic Communication: Mixed Methods Study.

BACKGROUND: Consumers are increasingly using large language model-based chatbots to seek mental heal...

Global research trends in bone tumors: a bibliometric analysis of medical imaging.

BACKGROUND: Bone tumors, due to their high rate of misdiagnosis, pose significant clinical challenge...

Machine Learning Based Early Diagnosis of ADHD with SHAP Value Interpretation: A Retrospective Observational Study.

BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder ...

SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM).

Given the importance of datasets for sensing-communication integration research, a novel simulation ...

Disciplinary barriers need communication: a behavioral and fNIRS study under group decision-making paradigm shift based on cabin design.

In the field of interdisciplinary engineering design, the terminology used by decision-makers from d...

Contemporary Prevention and Management of Postoperative Delirium in Cardiac Surgery Patients.

This review examines the prevention and management of postoperative delirium in cardiac surgery pati...

Examining the empathy levels of medical students using CHAID analysis.

BACKGROUND: Empathy is a key factor in the medical field as it strengthens doctor-patient relationsh...

Artificial Intelligence in Rhinoplasty: Precision or Over-Reliance?

The integration of artificial intelligence (AI) into rhinoplasty has transformed preoperative planni...

Reimagining Resilience in Aging: Leveraging AI/ML, Big Data Analytics, and Systems Innovation.

As the aging population in the United States grows, the need for an integrated approach to support o...

The Impact of Biometric Surveillance on Reducing Violent Crime: Strategies for Apprehending Criminals While Protecting the Innocent.

In the rapidly evolving landscape of biometric technologies, integrating artificial intelligence (AI...

AS-TBR: An Intrusion Detection Model for Smart Grid Advanced Metering Infrastructure.

Advanced Metering Infrastructure (AMI), as a critical data collection and communication hub within t...

SFPGCL: Specificity-preserving federated population graph contrastive learning for multi-site ASD identification using rs-fMRI data.

Autism spectrum disorder (ASD) is a severe neurodevelopmental disorder that affects people's social ...

Quantization-based chained privacy-preserving federated learning.

Federated Learning (FL) is an advanced distributed machine learning framework crucial in protecting ...

From error to prevention of wrong-level spine surgery: a review.

Wrong-level spine surgery remains a significant concern in spine surgery, leading to devastating con...

Consideration of artificial intelligence applications for interpreting communicative movements by individuals with visual and/or motor disabilities.

Access to speech-language therapies that promote optimal communication outcomes is a fundamental rig...

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