Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53559, first published .
The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research

The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research

The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research

Journals

  1. Jalali M, Akhavan A. Integrating AI language models in qualitative research: Replicating interview data analysis with ChatGPT. System Dynamics Review 2024;40(3) View
  2. Ömür Arça D, Erdemir İ, Kara F, Shermatov N, Odacioğlu M, İbişoğlu E, Hanci F, Sağiroğlu G, Hanci V. Assessing the readability, reliability, and quality of artificial intelligence chatbot responses to the 100 most searched queries about cardiopulmonary resuscitation: An observational study. Medicine 2024;103(22):e38352 View
  3. Dehdab R, Brendlin A, Werner S, Almansour H, Gassenmaier S, Brendel J, Nikolaou K, Afat S. Evaluating ChatGPT-4V in chest CT diagnostics: a critical image interpretation assessment. Japanese Journal of Radiology 2024;42(10):1168 View
  4. Lin A, Zhu L, Mou W, Yuan Z, Cheng Q, Jiang A, Luo P. Advancing generative AI in medicine: recommendations for standardized evaluation. International Journal of Surgery 2024 View
  5. Banik D, Pati N, Sharma A. Systematic exploration and in-depth analysis of ChatGPT architectures progression. Artificial Intelligence Review 2024;57(10) View
  6. Qu Y, Wang J. Performance and biases of Large Language Models in public opinion simulation. Humanities and Social Sciences Communications 2024;11(1) View
  7. Makhortykh M, Sydorova M, Baghumyan A, Vziatysheva V, Kuznetsova E. Stochastic lies: How LLM-powered chatbots deal with Russian disinformation about the war in Ukraine. Harvard Kennedy School Misinformation Review 2024 View
  8. Mankowski M, Jaffe I, Xu J, Bae S, Oermann E, Aphinyanaphongs Y, McAdams‐DeMarco M, Lonze B, Orandi B, Stewart D, Levan M, Massie A, Gentry S, Segev D. ChatGPT Solving Complex Kidney Transplant Cases: A Comparative Study With Human Respondents. Clinical Transplantation 2024;38(10) View
  9. Tudino G, Qin Y. A corpus-driven comparative analysis of AI in academic discourse: Investigating ChatGPT-generated academic texts in social sciences. Lingua 2024;312:103838 View
  10. Zare S, Vafaeian S, Amini M, Farhadi K, Vali M, Golestani A. Comparing the performance of ChatGPT-3.5-Turbo, ChatGPT-4, and Google Bard with Iranian students in pre-internship comprehensive exams. Scientific Reports 2024;14(1) View
  11. Agaronnik N, Davis J, Manz C, Tulsky J, Lindvall C. Large Language Models to Identify Advance Care Planning in Patients With Advanced Cancer. Journal of Pain and Symptom Management 2024 View
  12. Dornburg A, Davin K. ChatGPT in foreign language lesson plan creation: Trends, variability, and historical biases. ReCALL 2024:1 View
  13. Hamilton Z, Aseem A, Chen Z, Naffakh N, Reizine N, Weinberg F, Jain S, Kessler L, Gadi V, Bun C, Nguyen R. Comparative Analysis of Generative Pre-Trained Transformer Models in Oncogene-Driven Non–Small Cell Lung Cancer: Introducing the Generative Artificial Intelligence Performance Score. JCO Clinical Cancer Informatics 2024;(8) View
  14. Jackson V, Vasilescu B, Russo D, Ralph P, Izadi M, Prikladnicki R, D’angelo S, Inman S, Andrade A, van der Hoek A. The Impact of Generative AI on Creativity in Software Development: A Research Agenda. ACM Transactions on Software Engineering and Methodology 2024 View
  15. Flanagan C, Trang K, Nacario J, Schneider P, Gasper W, Conte M, Wick E, Conway A. Large language models can accurately populate Vascular Quality Initiative procedural databases using narrative operative reports. Journal of Vascular Surgery 2024 View

Books/Policy Documents

  1. Pears M, Konstantinidis S. Disruptive Technologies in Education and Workforce Development. View