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Towards prehospital risk stratification using deep learning for ECG interpretation in suspected acute coronary syndrome.
BMJ health & care informatics
Jun 6, 2025
OBJECTIVES: Most patients presenting with chest pain in the emergency medical services (EMS) setting are suspected of non-ST-elevation acute coronary syndrome (NSTE-ACS). Distinguishing true NSTE-ACS from non-cardiac chest pain based solely on the EC...
Predicting opportunities for improvement in trauma care using machine learning: a retrospective registry-based study at a major trauma centre.
BMJ open
Jun 6, 2025
OBJECTIVE: To develop models to predict opportunities for improvement in trauma care and compare the performance of these models to the currently used audit filters.
Personalized deep neural networks reveal mechanisms of math learning disabilities in children.
Science advances
Jun 6, 2025
Learning disabilities affect a substantial proportion of children worldwide, with far-reaching consequences for their academic, professional, and personal lives. Here we develop digital twins-biologically plausible personalized deep neural networks (...
Machine learning based gut microbiota pattern and response to fiber as a diagnostic tool for chronic inflammatory diseases.
BMC microbiology
Jun 6, 2025
Gut microbiota has been implicated in the pathogenesis of multiple gastrointestinal (GI) and systemic metabolic and inflammatory disorders where disrupted gut microbiota composition and function (dysbiosis) has been found in multiple studies. Thus, h...
Emotion recognition with multiple physiological parameters based on ensemble learning.
Scientific reports
Jun 6, 2025
Emotion recognition is a key research area in artificial intelligence, playing a critical role in enhancing human-computer interaction and optimizing user experience design. This study explores the application and effectiveness of ensemble learning m...
Deep learning-based applicator selection between Syed and T&O in high-dose-rate brachytherapy for locally advanced cervical cancer: a retrospective study.
Physics in medicine and biology
Jun 6, 2025
High-dose-rate (HDR) brachytherapy is integral to the standard-of-care for locally advanced cervical cancer (LACC). Currently, selection of brachytherapy applicators relies on physician's clinical experience, which can lead to variability in treatmen...
"Calming the nightmares": A qualitative study of a socially assistive robot for sensory and emotional support in individuals with eating disorders and PTSD.
PloS one
Jun 6, 2025
Individuals with eating disorders (ED) and co-occurring post-traumatic stress disorder (PTSD) often face difficulties with sensory overload and emotion regulation (ER), which can make treatment more complex. Assistive devices that offer real-time sup...
Pharmacy students' perceptions of artificial intelligence integration in pharmacy practice: Ethical challenges in multiple countries of the MENA region.
Currents in pharmacy teaching & learning
Jun 5, 2025
BACKGROUND: The integration of artificial intelligence (AI) into pharmacy practice has the potential to advance learning experiences and prepare future pharmacists for evolving healthcare needs. However, it also raises ethical considerations that nee...
Investigating Symptom Duration Using Current Status Data: A Case Study of Postacute COVID-19 Syndrome.
Epidemiology (Cambridge, Mass.)
Jun 5, 2025
BACKGROUND: For infectious diseases, characterizing symptom duration is of clinical and public health importance. Symptom duration may be assessed by surveying infected individuals and querying symptom status at the time of survey response. For examp...
Enhancing patient-centered care with AI: a study of responses to neuroendocrine neoplasms queries.
Endocrine
Jun 5, 2025
INTRODUCTION: Large Language Models (LLMs) are increasingly used in oncology, but their application in neuroendocrine neoplasms (NENs) is still unexplored.
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