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This paper is in the following e-collection/theme issue:

Artificial Intelligence (AI) in Medical Education (255) Clinical Information and Decision Making (2164) Natural Language Processing (999) New Methods and Approaches in Medical Education (451) Machine Learning (2327) Theme Issue: ChatGPT and Generative Language Models in Medical Education (115)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62779, first published .
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Detecting Artificial Intelligence–Generated Versus Human-Written Medical Student Essays: Semirandomized Controlled Study

Detecting Artificial Intelligence–Generated Versus Human-Written Medical Student Essays: Semirandomized Controlled Study

Authors of this article:

Berin Doru1 Author Orcid Image ;   Christoph Maier1 Author Orcid Image ;   Johanna Sophie Busse1 Author Orcid Image ;   Thomas Lücke1 Author Orcid Image ;   Judith Schönhoff2 Author Orcid Image ;   Elena Enax- Krumova3 Author Orcid Image ;   Steffen Hessler4 Author Orcid Image ;   Maria Berger5 Author Orcid Image ;   Marianne Tokic6 Author Orcid Image
Article Authors Cited by (16) Tweetations (2) Metrics

Journals

  1. Wraith C, Carnegy A, Brown C, Baptista A, Sam A. Can educators distinguish between medical student and generative AI‐authored reflections?. Medical Education 2025;59(11):1214 View
  2. Öztürk A, Karahan A, Günay S, Erdal A, Komut S, Komut E, Yiğit Y. Artificial intelligence as author: Can scientific reviewers recognize GPT-4o-generated manuscripts?. The American Journal of Emergency Medicine 2025;97:216 View
  3. Elzayyat M, Mohammad J, Zaqout S. Assessing LLM-generated vs. expert-created clinical anatomy MCQs: a student perception-based comparative study in medical education. Medical Education Online 2025;30(1) View
  4. Baştürk B, Onan A. Machine Learning Based Identification of LLM Generated Scientific Research Article Abstracts. Scientific Journal of Mehmet Akif Ersoy University 2025;8(2):57 View
  5. Maheshwari A, Sarkar A, Misra S. Comparative analysis of human-generated versus Artificial Intelligence-drafted summary paragraphs for medical student performance evaluations. Medical Teacher 2026;48(4):606 View
  6. Hessler S. Isabelle Thormann. 2024. Tatort Syntax. Authentizitätsfeststellung in der forensischen Linguistik (Narr Studienbücher). Berlin, Boston: De Gruyter. 544 S.. Zeitschrift für Rezensionen zur germanistischen Sprachwissenschaft 2025;17(1-2):28 View
  7. Horban O, Mykola Stadnyk , Svitlana Vintoniv-Bakharieva , Leonid Panasiuk , Oksana Yatyshchuk . Artificial Intelligence as an Integral Component of the Digital Culture within Contemporary Higher Education. Journal of Educational Technology and Learning Creativity 2025;3(2):451 View
  8. Atay A, Atay F, Corlu O. Assessment of AI-generated responses to common pregnancy questions: A blinded expert evaluation. European Journal of Obstetrics & Gynecology and Reproductive Biology 2026;318:114960 View
  9. Hadra M, Cambridge K, Mesbah M. Evaluating the accuracy and reliability of AI content detectors in academic contexts. International Journal for Educational Integrity 2026;22(1) View
  10. Georgiou G. Key Features to Distinguish Between Human- and AI-Generated Texts: Perspectives from University Professors. AI in Education 2026;2(1):2 View
  11. Arnold V, Abad M, Young S. Can People Tell the Difference Between AI-Generated Mental Health Vignettes? An Exploratory Comparison of User Evaluations. Information 2026;17(2):188 View
  12. Alonso Simón L, Fernández-Pampillón Cesteros A. El corpus ROBOT-TALK para el reconocimiento del origen robótico de textos en español. Alfinge. Revista de Filología 2026;37:9 View
  13. Zha R, Liu J, Wang L, Li S, Mei L, Gong X, Weng Y, Jiang X, He X. Evaluating Large Language Models-Generated Health Education Materials for Discharged Patients with Diabetes: A Comparative Analysis. Journal of Diabetes Science and Technology 2026 View
  14. Richter M, Larsson T. Can humans actually be trusted to detect LLM-generated texts? Assessing reviewers’ accuracy and confidence. Research Methods in Applied Linguistics 2026;5(2):100322 View
  15. Annweiler C, Hazzan M, Moulin T, Riou B, Staccini P, Humbert M, Laffont I. Usage raisonné de l’intelligence artificielle générative dans la conduite et la rédaction des travaux académiques au cours des études de santé : élaboration d’une charte nationale française par la Conférence des doyennes et doyens des facultés de médecine. Santé Publique 2026;vol. 38(2):11 View

Conference Proceedings

  1. Zhao D, Ji J. Proceedings of the 2025 3rd International Conference on Information Education and Artificial Intelligence. Research Context and Trends of Artificial Intelligence Literacy among Higher Education Teachers in China--A Bibliometric Analysis Based on CiteSpace View