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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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Potential of artificial intelligence in injury prevention research and practice.

There is increasing interest and use of artificial Intelligence algorithms and methods in biomedical...

The Commercial Determinants of Violence: Identifying Opportunities for Violence Prevention through a Public Health-Based Framework Analysis.

Violence has immediate and long-term repercussions for the health of individuals and communities. Re...

Assessing the Potential Role of Artificial Intelligence in Medication-Related Osteonecrosis of the Jaw Information Sharing.

BACKGROUND: Artificial Intelligence, by answering questions about disease prevention strategies, can...

Q-learning and fuzzy logic multi-tier multi-access edge clustering for 5g v2x communication.

The 5th generation (5 G) network is required to meet the growing demand for fast data speeds and the...

Recent developments in denoising medical images using deep learning: An overview of models, techniques, and challenges.

Medical imaging plays a critical role in diagnosing and treating various medical conditions. However...

Improved REBA: deep learning based rapid entire body risk assessment for prevention of musculoskeletal disorders.

Preventing work-related musculoskeletal disorders (WMSDs) is crucial in reducing their impact on ind...

Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management.

The rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly ...

[How I Teach It: Robotic Surgery in the Upper GI Tract].

In this manuscript, we present our concept for training in robotic surgery of the upper gastrointest...

Using ChatGPT-Like Solutions to Bridge the Communication Gap Between Patients With Rheumatoid Arthritis and Health Care Professionals.

The communication gap between patients and health care professionals has led to increased disputes a...

Improvement of Cancer Prevention and Control: Reflection on the Role of Emerging Information Technologies.

Cancer has become an important public health problem affecting the health of Chinese residents, as w...

Synthetic Corpus Generation for Deep Learning-Based Translation of Spanish Sign Language.

Sign language serves as the primary mode of communication for the deaf community. With technological...

Translating the regulatory landscape of medical devices to create fit-for-purpose artificial intelligence (AI) cytometry solutions.

The implementation of medical software and artificial intelligence (AI) algorithms into routine clin...

Dynamic assessment of spine movement patterns using an RGB-D camera and deep learning.

In clinical practice, functional limitations in patients with low back pain are subjectively assesse...

Robotic Care Equipment Improves Communication between Care Recipient and Caregiver in a Nursing Home as Revealed by Gaze Analysis: A Case Study.

The use of robotic nursing care equipment is an important option for solving the shortage of nursing...

Acceleration of Graph Neural Network-Based Prediction Models in Chemistry via Co-Design Optimization on Intelligence Processing Units.

Atomic structure prediction and associated property calculations are the bedrock of chemical physics...

Building digital patient pathways for the management and treatment of multiple sclerosis.

Recent advances in the field of artificial intelligence (AI) could yield new insights into the poten...

A Q-transform-based deep learning model for the classification of atrial fibrillation types.

According to the World Health Organization (WHO), Atrial Fibrillation (AF) is emerging as a global e...

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