Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...

Clinical judgment is now the cornerstone of NCLEX success, requiring nurses to apply structured reasoning to real-world patient care. From recognizing cues to taking decisive action, models like the ...

Objective: This study aims to develop a comprehensive sepsis knowledge graph by leveraging the capabilities of LLMs, specifically GPT-4.0, in conjunction with multicenter clinical databases. The goal ...

Clinical judgment is at the heart of safe, effective nursing care, yet it’s a skill that must be intentionally developed. From simulation-based learning to active, student-centered strategies, ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

Abstract: Legal judgment prediction is one of essential tasks in legal practice. However, most existing models of legal judgment prediction struggle with long documents due to limitations in position ...

Abstract: The need for improved diagnostic methods in ophthalmology is acute, especially in the underdeveloped regions with limited access to specialists and advanced equipment. Therefore, we ...

As Medline Academy completes 10 years in NCLEX-RN education, the institution is placing renewed focus on innovation, ...

Preclinical research in neuroscience has traditionally relied on animal models to investigate disease mechanisms and develop new therapeutic strategies. While these models are valuable to gain ...