Yinan Jiang
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Can artificial intelligence read between the lines: Utilizing ChatGPT to evaluate medical students’ implicit attitudes towards doctor-patient relationship: Medical Teacher: Vol 0, No 0 - Get Access
Abstract Purpose To explore ChatGPT’s utility in evaluating medical students’ implicit attitudes toward the doctor–patient relationship (DPR). Materials and Methods This study analyzed interview transcripts from 10 medical students, categorizing implicit DPR attitudes into Care and Share dimensions, each with 5 levels. We first assessed ChatGPT’s ability to identify DPR-related textual content, then compared grading results from experts, ChatGPT, and participants’ self-evaluations.
Correlation between colonoscopy difficulty and personality traits: study protocol for a prospective, observational, multicentre study
Endoscopy Psychometrics PUBLIC HEALTH The study is limited to Chinese medical centres, affecting generalisability to other populations. Participants who consent to the study may differ from those who decline, particularly regarding personality traits and health behaviours, which could influence the findings. Self-reported data using the Big Five Inventory may lead to potential bias.
Identification and validation of disulfidptosis-related gene signatures and their subtype in diabetic nephropathy
1 Introduction Diabetes is a chronic disease caused by insufficient insulin secretion or reduced insulin sensitivity. Clinically, diabetes is often classified into four types, of which type 2 diabetes accounts for the largest proportion (Bellary et al., 2021). Due to the lack of treatment methods and its diverse complications, type 2 diabetes has become a huge social burden (National Library of Medicine, 2015).
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