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GPT-4 as a Clinical Decision Support Tool in Ischemic Stroke Management: Evaluation Study
Agreement between treatment decisions was measured using a linear weighted Cohen κ coefficient, using the psych 2.3.12 library.
This study was approved by the Rambam Medical Center Helsinki Committee (0156-24-D) as a retrospective analysis. The requirement for informed consent was waived due to the retrospective nature of the study and the use of deidentified data. All patient information was anonymized prior to analysis, with all identifiers, names, and dates removed to ensure privacy and confidentiality.
JMIR AI 2025;4:e60391
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For each measure, we will report descriptive statistics, paired samples 2-tailed t tests, and Cohen d effect sizes (small=0.2, medium=0.5, and large=0.8) [204] with 95% CIs and minimal clinically important difference where available. We will analyze the MHB and HEP groups separately. We will explore associations between hypothesized mechanisms and outcomes to gauge the evidence of engagement in the targets of the MHB intervention.
JMIR Res Protoc 2024;13:e64149
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