Prevention of medical errors

Workflow-embedded AI as a cognitive scaffold: A randomized trial on knowledge retention and diagnostic competency in undergraduate radiology education.

BACKGROUND: Traditional didactic methods in medical imaging education, predominantly reliant on static images (non-augmented, traditional PACS workflow that requires manual, unguided search and interpretation), consistently fail to bridge the theory-practice divide, contributing to high diagnostic error rates. While the integration of artificial intelligence (AI) with Picture Archiving and Communi...

[When everything is well-coordinated in an interdisciplinary manner-Is there a need for operating room management?].

Even in the ideal case of well-coordinated cooperation between anesthesiological and surgical as well as interventional colleagues, a departmental control unit is required to undertake the management of the central surgical unit. Conflict management and the communication of decisions represent only one part of the range of tasks of operating room (OR) management. In contrast, strategic planning, c...

Impact of mobile phone use on the brain activity: Audio call vs video call.

The growing dependence on mobile phones for communication has raised concerns regarding the neurological impact of radio-frequency electromagnetic fie...

Intercellular Communication Guides the Prediction of Intracellular Gene Regulatory Relationships.

Cellular communication via ligand-receptor signaling regulates downstream gene expression networks, playing a vital role in maintaining cellular funct...

AI-enhanced virtual reality simulation for nursing students' empathy: Automated scoring and inter-rater reliability in a randomised controlled study.

BACKGROUND: Empathy is a fundamental nursing competence that supports effective communication and high-quality care. In obstetric settings, the emotio...

AI-driven routing and layered architectures for intelligent ICT in nanosensor networked systems.

This review examines the emerging integration of nanosensor networks with modern information and communication technologies to address critical needs ...

The role of AI-driven communication in delirium prevention, detection, and care for critically ill ICU patients: A systematic review with inductive thematic synthesis.

BACKGROUND: Delirium remains one of the most consequential complications among critically ill patients in ICUs, exerting profound effects on morbidity...

Inaccurate information regarding cardiovascular disease prevention enabled by generative artificial intelligence.

Inaccurate information regarding cardiovascular disease (CVD) prevention is prevalent on the internet and may influence medical decisions. Artificial ...

Large language models versus healthcare professionals in providing medical information to patient questions: A systematic review.

OBJECTIVE: The rapid expansion of digital healthcare has heightened the volume of patient communication, thereby increasing the workload for healthcar...

Optimizing depression diagnosis: fNIRS and machine learning differentiate unipolar, bipolar, and healthy states.

BACKGROUND: Differentiating Unipolar Depression (UD) from Bipolar Depression (BD) remains challenging due to overlapping symptoms, which can lead to m...

Cardiac Rehabilitation for Coronary Artery Disease: Gaps, Digital Models, and the Future of Personalized Prevention.

Cardiovascular disease is the leading cause of global morbidity and mortality, with coronary artery disease representing the primary driver of prematu...

Beyond gas bubbles: AI analysis of the "bubble bed" microenvironment improves diagnosis of infected abdominal collections.

BACKGROUND: Accurate diagnosis of infected intra-abdominal fluid collections (IAFCs) is challenging, as the conventional "gas bubble sign" on computed...

Automotive Health 2.0: Steering Toward Proactive Preventive Care.

Cardiovascular and chronic disease prevention remains limited by episodic, clinic-based assessments that fail to capture physiological changes arising...

A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention.

This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that...

Ethical challenges and opportunities for integrating predictive analytics in community-based overdose prevention.

As predictive analytics become more widely integrated into local public health responses to the United States overdose epidemic, community-based subst...

Predicting perceived likelihood of future suicide attempts in youth with non-suicidal self-injury: A machine learning approach using LightGBM and SHAP.

OBJECTIVES: Non-suicidal self-injury (NSSI) is a strong predictor and a gateway to suicide attempts (SA) among youth. Therefore, understanding how ind...

[Digital examinations in medical education: a systematic overview with practical recommendations].

Digitalization opens up a wide range of didactic and organizational possibilities for examinations in medical curricula. This article provides a syste...

Leveraging the Concentration-Gradient Diffusion within a Catalyst-Containing Hydrogel Bilayer Enables Safe and Effective Tooth Whitening and Caries Prevention.

Tooth whitening has attracted considerable attention as it can enhance appearance and improve oral health. Nanocatalysts with peroxidase-like activity...

Evaluating the ability of AI chatbots to provide informed consent information for common oncological surgeries.

INTRODUCTION: Informed consent is fundamental to oncological surgery, but communication is often hindered by medical terminology, inconsistent explana...

Algorithmic gaze and subject occlusion: a medical ethical critique of artificial intelligence diagnosis and treatment from a foucaultian perspective.

This paper develops a Foucauldian analysis of artificial intelligence (AI) in medical diagnosis, arguing that AI introduces an "algorithmic gaze" that...