Uncovering bias and variability in how large language models attribute cardiovascular risk

Large language models (LLMs) are used increasingly in medicine, but their decision-making in cardiovascular risk attribution remains underexplored. This pilot study examined how an LLM apportioned relative cardiovascular risk across different demographic and clinical domains. A structured prompt set across six domains was developed, across general cardiovascular risk, body mass index (BMI), diabetes, depression, smoking, […]

Development and Validation of an Electronic Health Record–Based Algorithm for Identifying Patients With Long-Term Opioid Therapy: Cross-Sectional Study

Background: Health care providers must carefully monitor patients receiving long-term opioid therapy (LTOT) to minimize risks and maximize benefits. Yet, algorithms to support intervention during patient encounters are lacking, with accurate LTOT identification in routine care being the essential first step. Objective: This study aims to develop and validate an LTOT identification algorithm using electronic […]

AI-driven dynamic psychological measurement: correcting university student mental health scales using daily behavioral and cognitive data

ObjectiveThis study aimed to evaluate an Artificial Intelligence (AI)-driven dynamic psychological measurement method for correcting traditional mental health scales. We sought to validate its feasibility using daily behavioral and cognitive data from university students and assess its potential as an intervention tool.MethodsA total of 177 university students participated in a one-and-a-half-year study. Using a WeChat […]

AI-driven dynamic psychological measurement: correcting university student mental health scales using daily behavioral and cognitive data

ObjectiveThis study aimed to evaluate an Artificial Intelligence (AI)-driven dynamic psychological measurement method for correcting traditional mental health scales. We sought to validate its feasibility using daily behavioral and cognitive data from university students and assess its potential as an intervention tool.MethodsA total of 177 university students participated in a one-and-a-half-year study. Using a WeChat […]

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