Publications by authors named "A R Keshtkar"
Systematic review of ChatGPT accuracy and performance in Iran's medical licensing exams: A brief report.
J Educ Health Promot
November 2024
ChatGPT has demonstrated significant potential in various aspects of medicine, including its performance on licensing examinations. In this study, we systematically investigated ChatGPT's performance in Iranian medical exams and assessed the quality of the included studies using a previously published assessment checklist. The study found that ChatGPT achieved an accuracy range of 32-72% on basic science exams, 34-68.
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- Confounding in endodontic research can distort the relationship between exposure and outcomes, risking the accuracy of research findings.
- This review defines confounding variables, explains their identification, and discusses methods for controlling them, including study design techniques and statistical adjustments.
- Poor control of confounding can lead to misleading conclusions in research outcomes, emphasizing the importance of effective strategies to mitigate this issue.
Early prediction of poor outcomes in patients impacted with aneurysmal subarachnoid hemorrhage (aSAH) is crucial for timely intervention and effective management. This systematic review and meta-analysis aimed to evaluate the performance of machine learning (ML) algorithms in predicting poor outcomes in patients with aSAH, assessing their sensitivity, specificity, and other algorithm metrics. A comprehensive search of PubMed, Scopus, Embase, Web of science and Cochrane library conducted to identify eligible studies.
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- The study highlighted the rising threat of resistance to colistin, the last line of defense against severe infections, which is becoming a major public health issue.
- A thorough analysis of 619 studies indicated a global colistin resistance prevalence of 1%, with cystic fibrosis patients showing a significantly higher rate of 7%.
- The findings reveal an alarming increase in colistin resistance over recent years, stressing the urgent need for improved infection control and awareness of antimicrobial resistance.
Article Synopsis
- Clinical reasoning is a key competency in medicine that involves using knowledge and skills to diagnose problems, implement interventions, and enhance patient care, making it crucial for medical students to develop this skill.
- The scoping review aimed to summarize existing literature on teaching methods to improve clinical reasoning in undergraduate medical education by analyzing articles published from 2010 to 2024.
- The review included 54 studies that explored various educational strategies for enhancing clinical reasoning, highlighting the need for more precise and larger-scale research to obtain definitive conclusions.