Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Cellular communication via ligand-receptor signaling regulates downstream gene expression networks, ...
BACKGROUND: Empathy is a fundamental nursing competence that supports effective communication and hi...
This review examines the emerging integration of nanosensor networks with modern information and com...
BACKGROUND: Delirium remains one of the most consequential complications among critically ill patien...
Inaccurate information regarding cardiovascular disease (CVD) prevention is prevalent on the interne...
OBJECTIVE: The rapid expansion of digital healthcare has heightened the volume of patient communicat...
BACKGROUND: Differentiating Unipolar Depression (UD) from Bipolar Depression (BD) remains challengin...
Cardiovascular disease is the leading cause of global morbidity and mortality, with coronary artery ...
BACKGROUND: Accurate diagnosis of infected intra-abdominal fluid collections (IAFCs) is challenging,...
Cardiovascular and chronic disease prevention remains limited by episodic, clinic-based assessments ...
This systematic review examines the applications of artificial intelligence (AI) in preventing obesi...
As predictive analytics become more widely integrated into local public health responses to the Unit...
OBJECTIVES: Non-suicidal self-injury (NSSI) is a strong predictor and a gateway to suicide attempts ...
Tooth whitening has attracted considerable attention as it can enhance appearance and improve oral h...
Obesity is a complex, rapidly escalating global health challenge that demands innovation across biol...
PurposeTo evaluate the utility of CataractBot, an LLM (Large Language Model)-powered chatbot that pr...
One of the regions in Indonesia that has the highest prevalence of stunting cases is West Nusa Tengg...
In this essay, we argue that the applications of generative-AI technologies to science communication...
PURPOSE: To evaluate the performance of general-purpose, retrieval-augmented, and medicine-specific ...
Digital technologies are transforming oral healthcare by enhancing prevention, diagnostics, treatmen...
OBJECTIVE: Artificial intelligence (AI) is increasingly explored in pediatric surgical care, yet its...