Long-duration space missions will challenge astronauts' adaptive capacities. Interoception and heart rate variability (HRV), reflecting parasympathetic activity, are increasingly recognized as predictors of adaptation and health. This study investiga...
Integrated environmental assessment and management
Sep 1, 2025
The rapid expansion of artificial intelligence (AI) is intensifying the global energy trilemma, threatening security, equity, and sustainability. Its soaring electricity demand-projected to rival Japan's entire annual consumption by 2030-is the prima...
The availability of health technologies has facilitated improvements in the quality of care, playing a vital role in both hospital environments and remote patient monitoring. However, the growing complexity of these technologies has also led to an in...
OBJECTIVE: In this study, we investigated whether artificial intelligence (AI) analysis of chest radiographs (CXRs) can predict major adverse clinical events in patients visiting the emergency department (ED) with acute cardiopulmonary symptoms.
Giornale italiano di cardiologia (2006)
Sep 1, 2025
Artificial intelligence (AI) is redefining ECG interpretation, transforming it from a static diagnostic tool into a dynamic, predictive, and integrative instrument. Although widespread, traditional rule-based ECG analysis has limitations in accuracy ...
Artificial intelligence (AI) is increasingly embedded in primary care, offering tools to enhance clinical decision making, streamline administrative processes and support personalised care. Community nurses who provide holistic, patient-centred suppo...
BACKGROUND: Artificial intelligence (AI)-based Clinical Decision Support Systems (AI-CDSS) are increasingly implemented in intensive care settings to support nurses in complex, time-sensitive decisions, aiming to improve accuracy, efficiency and pati...
BACKGROUND: Skin quality has a significant influence on aesthetic perception, yet its clinical evaluation remains subjective and inconsistent. Traditional assessments, such as visual grading and manual scoring, lack reproducibility and fail to captur...
AIM: To examine the implications of large language models (LLMs) in clinical documentation and explore strategies to preserve critical thinking among healthcare professionals in the age of artificial intelligence (AI).
Most artificial intelligence (AI) in healthcare is developed to support existing workflows and administrative priorities, often without the perspective of nurses. What if nurses were at the helm of AI design? Informed by the perspectives of 27 senior...
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