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Virtual patients using large language models: Scalable, contextualized simulation of clinician-patient dialog with feedback.
J Med Internet Res
January 2025
Division of General Internal Medicine, Mayo Clinic College of Medicine and Science, 200 First St SW, Rochester, US.
Background: Virtual patients (VPs) are computer screen-based simulations of patient-clinician encounters. VP use is limited by cost and low scalability.
Objective: Show proof-of-concept that VPs powered by large language models (LLMs) generate authentic dialogs, accurate representations of patient preferences, and personalized feedback on clinical performance; and explore LLMs for rating dialog and feedback quality.
Objectives: Type 2 diabetes mellitus (T2DM) significantly deteriorates patients' quality of life (QOL). This study examined the dynamic interplay of factors that influence QOL in patients with T2DM, utilizing concepts from positive psychology and intrinsic mechanisms, to lay the groundwork for improving patient outcomes. Improving self-management behaviors is essential for effective disease management.
View Article and Find Full Text PDFCombating trade in illegal wood and forest products with machine learning.
PLoS One
January 2025
Department of Computer Science, Virginia Tech, Arlington, VA, United States of America.
Trade in wood and forest products spans the global supply chain. Illegal logging and associated trade in forest products present a persistent threat to vulnerable ecosystems and communities. Illegal timber trade has been linked to violations of tax and conservation laws, as well as broader transnational crimes.
View Article and Find Full Text PDFCross- analyzing the opinions and experiences of nurses, physiotherapists, dentists, midwives, and pharmacists with respect to addictive disorder screening in primary care: A qualitative study.
PLoS One
January 2025
Department of General Practice, Tours Regional University Hospital, Tours, France.
Early addiction disorders screening is recommended in primary care. The goal of health system reform is to include allied health professionals in this screening. The appropriation of their new role has not yet been explored.
View Article and Find Full Text PDFMeasurement properties of instruments to assess insight in psychosis: A systematic review protocol.
PLoS One
January 2025
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Introduction: Insight in psychosis, defined as a patient's awareness and judgment of their mental illness, is a complex and evolving concept. Historically, the absence of insight was considered a defining characteristic of psychosis, but recent decades have seen the development of structured tools for its assessment. This systematic review aims to critically appraise the measurement properties of instruments used to assess insight in individuals with schizophrenia spectrum, bridging the gap between theoretical conceptualization and clinical practice.
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