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The great detectives: humans versus AI detectors in catching large language model-generated medical writing
5 references·4 citing·30 second hop
The great detectives: humans versus AI detectors in catching large language model-generated medical writing (2024)The great detectives: humans versus AI de…The Effectiveness of Software Designed to Detect AI-Generated Writing: A Comparison of 16 AI Text Detectors (2023)The Effectiveness of Software…Testing of detection tools for AI-generated text (2023)Testing of detection tools fo…Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers (2023)Comparing scientific abstract…ChatGPT listed as author on research papers: many scientists disapprove (2023)ChatGPT listed as author on r…AI did not write this manuscript, or did it? Can we trick the AI text detector into generated texts? The potential future of ChatGPT and AI in Sports & Exercise Medicine manuscript generation (2023)AI did not write this manuscr…Evaluating the accuracy and reliability of AI content detectors in academic contexts (2026)Evaluating the accuracy and r…ChatGPT in Academic Writing: A Scientometric Analysis of Literature Published Between 2022 and 2023 (2025)ChatGPT in Academic Writing: …Beyond Policing: AI Writing Detection Tools, Trust, Academic Integrity, and Their Implications for College Writing (2025)Beyond Policing: AI Writing D…AI-Based Digital Cheating At University, and the Case for New Ethical Pedagogies (2025)AI-Based Digital Cheating At …Abstracts written by ChatGPT fool scientists (2023)Risks of abuse of large language models, like ChatGPT , in scientific publishing: Authorship, predatory publishing, and paper mills (2023)Tools such as ChatGPT threaten transparent science; here are our ground rules for their use (2023)Simple techniques to bypass GenAI text detectors: implications for inclusive education (2024)ChatGPT is fun, but not an author (2023)Evaluating the efficacy of AI content detection tools in differentiating between human and AI-generated text (2023)Motivational processes affecting learning. (1986)Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning (2023)Rethinking Plagiarism in the Era of Generative AI (2024)Reviewing the performance of AI detection tools in differentiating between AI-generated and human-written texts: A literature and integrative hybrid review (2024)Survey on AI-Generated Plagiarism Detection: The Impact of Large Language Models on Academic Integrity (2024)Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)Academic publisher guidelines on AI usage: A ChatGPT supported thematic analysis (2024)Combating misinformation in the age of LLMs: Opportunities and challenges (2024)A theory of justice original editionExperience and Education (1986)Groundwork for the Metaphysics of Morals (2012)The Transparency Paradox: Why Researchers Avoid Disclosing AI Assistance in Scientific Writing (2025)Heads we win, tails you lose: AI detectors in education (2026)Self-efficacy: Toward a unifying theory of behavioral change. (1977)The theory of planned behavior (1991)Self-Determination Theory: Basic Psychological Needs in Motivation, Development, and Wellness (2017)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond (2023)Chatting and cheating: Ensuring academic integrity in the era of ChatGPT (2023)ChatGPT and the rise of generative AI: Threat to academic integrity? (2023)From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing (2023)The ethics of ChatGPT – Exploring the ethical issues of an emerging technology (2023)
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References

  • 2023Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers1,097 cited
  • 2023ChatGPT listed as author on research papers: many scientists disapprove868 cited
  • 2023Testing of detection tools for AI-generated text577 cited
  • 2023AI did not write this manuscript, or did it? Can we trick the AI text detector into generated texts? The potential future of ChatGPT and AI in Sports & Exercise Medicine manuscript generation168 cited
  • 2023The Effectiveness of Software Designed to Detect AI-Generated Writing: A Comparison of 16 AI Text Detectors109 cited

Cited by

  • 2025Beyond Policing: AI Writing Detection Tools, Trust, Academic Integrity, and Their Implications for College Writing43 cited
  • 2025ChatGPT in Academic Writing: A Scientometric Analysis of Literature Published Between 2022 and 202333 cited
  • 2025AI-Based Digital Cheating At University, and the Case for New Ethical Pedagogies32 cited
  • 2026Evaluating the accuracy and reliability of AI content detectors in academic contexts27 cited

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