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Human or Machine? A Comparative Analysis of Artificial Intelligence-Generated Writing Detection in Personal Statements.
J Phys Ther Educ
January 2025
Introduction: This study examines the ability of human readers, recurrence quantification analysis (RQA), and an online artificial intelligence (AI) detection tool (GPTZero) to distinguish between AI-generated and human-written personal statements in physical therapist education program applications.
Review Of Literature: The emergence of large language models such as ChatGPT and Google Gemini has raised concerns about the authenticity of personal statements. Previous studies have reported varying degrees of success in detecting AI-generated text.
The role of artificial intelligence in gynecologic and obstetric emergencies.
Eur J Obstet Gynecol Reprod Biol
January 2025
Department of Gynecology and Obstetrics, University Clinic Erlangen, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany. Electronic address:
Objective: To investigate the potential of artificial intelligence (AI) in emergency medicine, focusing on its utility in triaging and managing acute gynecologic and obstetric emergencies.
Methods And Materials: This feasibility study assessed Chat-GPT's performance in triaging and recommending management interventions for gynecologic and obstetric emergencies, using ten fictive cases. Five common conditions were modeled for each specialty.
Background: The COVID-19 pandemic has significantly strained healthcare systems globally, leading to an overwhelming influx of patients and exacerbating resource limitations. Concurrently, an "infodemic" of misinformation, particularly prevalent in women's health, has emerged. This challenge has been pivotal for healthcare providers, especially gynecologists and obstetricians, in managing pregnant women's health.
View Article and Find Full Text PDFChatGPT-4o can serve as the second rater for data extraction in systematic reviews.
PLoS One
January 2025
Department of Geriatric Medicine, Aalborg University Hospital, Aalborg, Denmark.
Article Synopsis
- The study evaluates ChatGPT-4o's effectiveness in data extraction for systematic reviews compared to human reviewers.
- The AI showed a high accuracy rate of 92.4% and good reproducibility, achieving 94.1% agreement in data extraction across two sessions.
- Results suggest that ChatGPT-4o could serve as a reliable second reviewer for systematic reviews and may enhance future data summarization efforts.
Healthcare professionals and the public sentiment analysis of ChatGPT in clinical practice.
Sci Rep
January 2025
Integrated Traditional and Western Medicine Hospital of Linping District, Hangzhou, 311100, China.
To explore the attitudes of healthcare professionals and the public on applying ChatGPT in clinical practice. The successful application of ChatGPT in clinical practice depends on technical performance and critically on the attitudes and perceptions of non-healthcare and healthcare. This study has a qualitative design based on artificial intelligence.
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