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 ...
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Master clinical judgment for NCLEX success
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 ...
Abstract: This paper presents CLINICSUM, a novel framework designed to automatically generate clinical summaries from patient-doctor conversations. It utilizes a two-module architecture: a ...
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Mastering clinical judgment for future nurses
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, ...
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