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Patient safety / Risk Management

Latest AI and machine learning research in patient safety / risk management for healthcare professionals.

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Showing 169-189 of 11,697 articles
The Effect of Robot Attentional Behaviors on User Perceptions and Behaviors in a Simulated Health Care Interaction: Randomized Controlled Trial.

BACKGROUND: For robots to be effectively used in health applications, they need to display appropria...

Enhanced classifier training to improve precision of a convolutional neural network to identify images of skin lesions.

BACKGROUND: In recent months, multiple publications have demonstrated the use of convolutional neura...

Artificial Intelligence in Medical Education: Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation.

OBJECTIVE: Virtual reality simulators track all movements and forces of simulated instruments, gener...

An Accurate Assessment of Docosahexaenoic Acid in Laying Hen Serum for Regulatory Studies.

Diets rich in omega-3 fatty acids (n-3 FA) have been associated with several health benefits. With t...

Algorithmic Decision-Making Based on Machine Learning from Big Data: Can Transparency Restore Accountability?

Decision-making assisted by algorithms developed by machine learning is increasingly determining our...

An Extended SNOMED CT Concept Model for Observations in Molecular Genetics.

Molecular genetics laboratory reports are multiplying and increasingly of clinical importance in dia...

Efficient and Privacy-Preserving Online Medical Prediagnosis Framework Using Nonlinear SVM.

With the advances of machine learning algorithms and the pervasiveness of network terminals, the onl...

Prediction of remission in obsessive compulsive disorder using a novel machine learning strategy.

The study objective was to apply machine learning methodologies to identify predictors of remission ...

Learning Multiscale Active Facial Patches for Expression Analysis.

In this paper, we present a new idea to analyze facial expression by exploring some common and speci...

A Scoping Review of AI/ML Algorithm Updating Practices for Model Continuity and Patient Safety Using a Simplified Checklist.

The ubiquity of clinical artificial intelligence (AI) and machine learning (ML) models necessitates ...

RAPID: Reliable and efficient Automatic generation of submission rePortIng checklists with large language moDels.

OBJECTIVE: To evaluate an automated reporting checklist generation tool using large language models ...

Probing Social Support and Self-Disclosure Within Chinese Online Domestic Violence Support Groups: Leveraging Multiple Machine Learning Approaches.

This study examines how domestic violence victims can effectively disclose their experiences in onli...

Defining the Boundaries of AI Use in Scientific Writing: A Comparative Review of Editorial Policies.

The rapid rise of generative artificial intelligence (AI) is fundamentally transforming the landscap...

Role of Artificial Intelligence in Detecting and Classifying Aortic Dissection: Where Are We? A Systematic Review and Meta-Analysis.

Purpose To evaluate the diagnostic performance of artificial intelligence (AI) models in detecting a...

Comprehensive reporting guidelines and checklist for studies developing and utilizing artificial intelligence models.

BACKGROUND: The rapid advancement of artificial intelligence (AI) in healthcare necessitates compreh...

Artificial Intelligence in the Clinic: Creating Harmony or Just Adding Noise?

Although still limited, the integration of artificial intelligence (AI) in health care has rapidly e...

Automating the Addiction Behaviors Checklist for Problematic Opioid Use Identification.

IMPORTANCE: Individuals whose chronic pain is managed with opioids are at high risk of developing an...

Self-supervised multi-modality learning for multi-label skin lesion classification.

BACKGROUND: The clinical diagnosis of skin lesions involves the analysis of dermoscopic and clinical...

Enhancing Clinical Decision Support: A Heuristic Evaluation of Explainable AI in Healthcare Dashboards.

Explainable Artificial Intelligence (XAI) is crucial for enhancing transparency, interpretability an...

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