Readability and Appropriateness of Responses Generated by ChatGPT 3.5, ChatGPT 4.0, Gemini, and Microsoft Copilot for FAQs in Refractive Surgery by Fahri Onur Aydın, Burakhan Kürşat Aksoy, Ali Ceylan, Yusuf Berk Akbaş, Serhat Ermiş, Burçin Kepez Yıldız, Yusuf Yıldırım

“…Objectives: To assess the appropriateness and readability of large language model (LLM) chatbots’ answers to frequently asked questions about refractive surgery. …”
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Automated and code-free development of a risk calculator using ChatGPT-4 for predicting diabetic retinopathy and macular edema without retinal imaging by Eun Young Choi, Joon Yul Choi, Tae Keun Yoo

“…We investigated whether ChatGPT-4, an advanced large-language-model chatbot, can develop risk calculators for DR and DME using health check-up tabular data without the need for retinal imaging or coding experience. …”
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11 Key Strategies in Using AI Chat GPT to Develop HOTS-Based Entrepreneurship Questionnaires by Almaida Vebibina, Rusijono Rusijono, Andi Mariono, Ahsan Muafa, Dydik Kurniawan, Ragil Sugeng Dewantoro, Dian Noer Asyari, Sussi Widiastuti, Jarot Suseno

“…We developed LLM (Large Language Model) using the approach to create HOTS-based multiple-choice questions (MCQs) from an advanced course context. …”
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ChatGPT-4 Performance on German Continuing Medical Education—Friend or Foe (Trick or Treat)? Protocol for a Randomized Controlled Trial by Christian Burisch, Abhav Bellary, Frank Breuckmann, Jan Ehlers, Serge C Thal, Timur Sellmann, Daniel Gödde

“…This study aimed to determine whether medical laypersons can successfully conduct training courses specifically for physicians with the help of a large language model (LLM) such as ChatGPT-4. This study aims to qualitatively and quantitatively investigate the impact of using artificial intelligence (AI; specifically ChatGPT) on the acquisition of credit points in German postgraduate medical education. …”
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Leveraging ChatGPT for Enhancing Arabic NLP: Application for Semantic Role Labeling and Cross-Lingual Annotation Projection by Ferial Senator, Abdelaziz Lakhfif, Imene Zenbout, Hanane Boutouta, Chahrazed Mediani

“…The former is highly precise but it demands substantial training and extensive resources, while, the latter, reduce human effort but often results in lower-quality annotations. Recently, Large language model (LLM) based conversational systems like ChatGPT have emerged as a promising tool for text annotation across various NLP tasks. …”
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Can ChatGPT4-vision identify radiologic progression of multiple sclerosis on brain MRI? by Brendan S. Kelly, Sophie Duignan, Prateek Mathur, Henry Dillon, Edward H. Lee, Kristen W. Yeom, Pearse A. Keane, Aonghus Lawlor, Ronan P. Killeen

“…Abstract Background The large language model ChatGPT can now accept image input with the GPT4-vision (GPT4V) version. …”
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An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study by Julia Thomas, Antonia Lucht, Jacob Segler, Richard Wundrack, Marcel Miché, Roselind Lieb, Lars Kuchinke, Gunther Meinlschmidt

“…ConclusionsNeural networks using large language model–based transfer learning can accurately identify SI and ASE. …”
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Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study by Sudeshna Das, Yao Ge, Yuting Guo, Swati Rajwal, JaMor Hairston, Jeanne Powell, Drew Walker, Snigdha Peddireddy, Sahithi Lakamana, Selen Bozkurt, Matthew Reyna, Reza Sameni, Yunyu Xiao, Sangmi Kim, Rasheeta Chandler, Natalie Hernandez, Danielle Mowery, Rachel Wightman, Jennifer Love, Anthony Spadaro, Jeanmarie Perrone, Abeed Sarker

“…We compared the performance of a quantized large language model (Nous-Hermes-2-7B-DPO), deployable in low-resource settings, with GPT-4. …”
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Utilisation of ChatGPT and other Artificial Intelligence tools among medical faculty in Uganda: a cross-sectional study [version 2; peer review: 1 approved, 2 approved with reserva... by Job Kuteesa, Faith Oguttu, Ian Guyton Munabi, Aloysius Gonzaga Mubuuke, Sarah Kiguli, Ritah Nantale, David Mukunya, Elizabeth Ajalo, Frank Kayemba, Jonathan Babuya, Kennedy Pangholi, Amelia Margaret Namiiro, Suzan Langoya Akuu, Steven Ekak, Ronald Tweheyo, Kirsten Nantongo, Brenda Nakitto, Milton W. Musaba, Joseph Luwaga Mpagi

“…Background ChatGPT is a large language model that uses deep learning techniques to generate human-like texts. …”
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Research on named entity recognition method in cybersecurity based on soft prompt tuning and reinforcement learning by TIAN Zeshu, LIU Chunyu, ZHANG Yunting, ZHANG Jiayu, MENG Chao, ZHANG Hongli

“…To address the problem of poor recognition accuracy in named entity recognition methods based on large language models in the cybersecurity domain, a novel cybersecurity named entity recognition method that combined soft prompt tuning and reinforcement learning was proposed. …”
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COMPARING HUMAN AND AI-BASED ESSAY EVALUATION IN THE CZECH HIGHER EDUCATION: CHALLENGES AND LIMITATIONS by Tomáš Kincl, Daria Gunina, Michal Novák, Jan Pospíšil

“…These essays were evaluated by a human evaluator and subsequently by virtual assistants utilizing large language models, specifically ChatGPT (paid version 4.0) and Claude (paid version Sonet 3.5). …”

Modelling the impact of environmental and social determinants on mental health using generative agents by Joseph Kambeitz, Andreas Meyer-Lindenberg

“…This review explores the potential of generative agents, powered by large language models, to simulate human-like behaviour in virtual environments for mental health research. …”
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Preventing unrestricted and unmonitored AI experimentation in healthcare through transparency and accountability by Donnella S. Comeau, Danielle S. Bitterman, Leo Anthony Celi

“…Abstract The integration of large language models (LLMs) into electronic health records offers potential benefits but raises significant ethical, legal, and operational concerns, including unconsented data use, lack of governance, and AI-related malpractice accountability. …”
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Language models for data extraction and risk of bias assessment in complementary medicine by Honghao Lai, Jiayi Liu, Chunyang Bai, Hui Liu, Bei Pan, Xufei Luo, Liangying Hou, Weilong Zhao, Danni Xia, Jinhui Tian, Yaolong Chen, Lu Zhang, Janne Estill, Jie Liu, Xing Liao, Nannan Shi, Xin Sun, Hongcai Shang, Zhaoxiang Bian, Kehu Yang, Luqi Huang, Long Ge, On behalf of ADVANCED Working Group

“…Abstract Large language models (LLMs) have the potential to enhance evidence synthesis efficiency and accuracy. …”
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Improving authenticity and provenance in digital biomarkers: the case for digital watermarking by Arjun Mahajan, Dylan Powell

“…A recent study highlights how Large Language Models (LLMs) generating human-like content amplify these risks, and propose watermarking as a scalable solution to ensure data integrity. …”
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Mapping Mental Representations With Free Associations: A Tutorial Using the R Package associatoR by Samuel Aeschbach, Rui Mata, Dirk U. Wulff

“…We discuss study design choices and different approaches to uncovering the structure of mental representations using natural language processing, including the use of embeddings from large language models. We posit that free association analysis presents a powerful approach to revealing how people and machines represent key social and technological issues.…”
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Evaluation of Chat Generative Pre-trained Transformer and Microsoft Copilot Performance on the American Society of Surgery of the Hand Self-Assessment Examinations by Taylor R. Rakauskas, BS, Antonio Da Costa, BS, Camberly Moriconi, BS, Gurnoor Gill, BA, Jeffrey W. Kwong, MD MS, Nicolas Lee, MD

“…The increasing popularity of large language models has raised important questions regarding their accuracy and agreement with human users. …”
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Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users by Boyoung Kang, Munpyo Hong

“…Comparative analyses were conducted with other large language models chatbots and existing digital therapy tools (Woebot [Woebot Health Inc] and Happify [Twill Inc]). …”
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An appraisal-based chain-of-emotion architecture for affective language model game agents. by Maximilian Croissant, Madeleine Frister, Guy Schofield, Cade McCall

“…Theoretical uncertainties and technical barriers present considerable challenges to the field, particularly with regards to developing agents that effectively simulate human emotions. Large language models (LLMs) might address these issues by tapping common patterns in situational appraisal. …”
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The Audiovisual Archive in an Era of Disinformation and Misinformation by Jacqueline Pietsch, in collaboration with the MediaNumeric Team

“…Will they be able to make good use of Large Language Models (LLMs) to unlock archived materials? …”
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