Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
BACKGROUND: Understanding the intricate relationship between sex, age, and the oral microbiome is crucial for deciphering the onset and progression of numerous age-related oral and systemic diseases. METHODS: Subgingival plaque was collected from 781 periodontally and systemically healthy females and 160 males spanning 0 to 80 years. 16S amplicon sequencing was performed. 80 million sequences were...
BACKGROUND: Conversational artificial intelligence (AI) systems offer potential solutions to traditional constraints in medical consultation skills training, including high costs, scheduling difficulties, and varied standardization. There is limited evidence evaluating medical professionals' perceptions of AI-generated patient interactions across multiple fidelity dimensions and assessing the educ...
BACKGROUND AND AIM: Computer-aided detection (CADe) facilitates colorectal lesion detection, but it remains unclear whether CADe affects endoscopist's...
In recent years, contrastive-based time series anomaly detection has emerged rapidly and become compelling thanks to its performance superiority. But ...
OBJECTIVES: To evaluate the feasibility of a large language model (LLM)-based chatbot for answering parental questions in the PICU and inform design o...
The escalating energy consumption of existing artificial intelligence hardware has become a serious global issue that demands immediate action. Neurom...
INTRODUCTION: The fusion of Artificial Intelligence and Machine Learning in the context of healthcare informatics has opened up revolutionary improvem...
Machine learning (ML) offers promise for suicide risk stratification in depressed youth, yet its clinical application remains methodologically challen...
Edge detection constitutes a fundamental task in computer vision, serving as a pivotal component for applications such as image segmentation, object d...
INTRODUCTION: Artificial intelligence (AI) is increasingly integrated into radiology workflows, supporting tasks such as image reconstruction, patient...
BACKGROUND: Drug-related deaths worldwide are most commonly attributed to opioids. Opioids and other sedative drugs can cause respiratory depression a...
Recent advancements in artificial intelligence (AI) and digital health messaging present opportunities to bridge service health gaps in underserved co...
The implementation of innovative active learning pedagogies in education enhances students' engagement and information retention compared to tradition...
BACKGROUND: General practitioners are often the first point of contact for patients with rare or unclear conditions. While clinical decision support s...
BACKGROUND: Clinical competency-based education (CBE) has emerged as a critical strategy to enhance workforce readiness in radiation sciences. Despite...
Graph Neural Networks (GNNs) are powerful tools for predicting chemical shifts in Nuclear Magnetic Resonance (NMR) spectroscopy. In this paper, we imp...
BACKGROUND: Ethics review of research and innovation activities face growing challenges due to rapid scientific and technological advances, interdisci...
Bilateral axillo-breast approach robotic thyroidectomy (BABA RT) is a well-established minimally invasive surgical option; however, shifts in preferen...
INTRODUCTION: Diagnostic errors remain a critical patient safety concern, yet teaching diagnostic reasoning is challenging due to its complex, context...
BACKGROUND: The exponential growth of medical knowledge presents a paradox for modern medical education. While access to information is immediate, app...