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Assessing the possibility of using large language models in ocular surface diseases.
Int J Ophthalmol
January 2025
Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai 200080, China.
Aim: To assess the possibility of using different large language models (LLMs) in ocular surface diseases by selecting five different LLMS to test their accuracy in answering specialized questions related to ocular surface diseases: ChatGPT-4, ChatGPT-3.5, Claude 2, PaLM2, and SenseNova.
Methods: A group of experienced ophthalmology professors were asked to develop a 100-question single-choice question on ocular surface diseases designed to assess the performance of LLMs and human participants in answering ophthalmology specialty exam questions.
Evaluating the utility of large language models in generating search strings for systematic reviews in anesthesiology: a comparative analysis of top-ranked journals.
Reg Anesth Pain Med
January 2025
Anesthesia and Intensive Care Unit, Padua University Hospital, University-Hospital of Padova, Padova, Italy.
Background: This study evaluated the effectiveness of large language models (LLMs), specifically ChatGPT 4o and a custom-designed model, Meta-Analysis Librarian, in generating accurate search strings for systematic reviews (SRs) in the field of anesthesiology.
Methods: We selected 85 SRs from the top 10 anesthesiology journals, according to Web of Science rankings, and extracted reference lists as benchmarks. Using study titles as input, we generated four search strings per SR: three with ChatGPT 4o using general prompts and one with the Meta-Analysis Librarian model, which follows a structured, Population, Intervention, Comparator, Outcome-based approach aligned with Cochrane Handbook standards.
Exploring artificial intelligence literacy and the use of ChatGPT and copilot in instruction on nursing academic report writing.
Nurse Educ Today
January 2025
Department of Industrial Engineering and Management, Chaoyang University of Technology, No. 168, Jifeng E. Rd., Wufeng District, Taichung 413310, Taiwan. Electronic address:
Background: Nursing education increasingly emphasizes academic writing and communication, critical for delivering quality patient care and professional advancement. Rapidly emerging artificial intelligence (AI) tools such as ChatGPT and Copilot are transforming educational methodologies, and a focus is being placed on embedding AI literacy to effectively bridge the gap between theoretical knowledge and clinical practice. These technologies have the potential to reshape nursing education in a technology-driven health-care landscape.
View Article and Find Full Text PDFFacilitating students' critical thinking, metacognition and problem-solving tendencies in geriatric nursing class: A mixed-method study.
Nurse Educ Pract
January 2025
School of Nursing, College of Nursing, Taipei Medical University, 250 Wuxing Street, Taipei 11031, Taiwan. Electronic address:
Aim: The aim of this study was to explore the use of generative artificial intelligence (GenAI) in geriatric nursing classes for the design of older adult activities to educate students on how to pose clear questions, provide and identify potentially suitable daily activities for older adults.
Background: Researchers in various educational fields are increasingly employing GenAI tools such as ChatGPT for curriculum development and research. Question generation is an essential skill for all students to learn to acquire knowledge.
Inter-Rater Disagreements in Applying the Montreal Classification for Crohn's Disease: The Five-Nations Survey Study.
United European Gastroenterol J
January 2025
Sheba Medical Center, Institute of Gastroenterology, Ramat-Gan, Israel.
Background: The Montreal classification has been widely used in Crohn's disease since 2005 to categorize patients by the age of onset (A), disease location (L), behavior (B), and upper gastrointestinal tract and perianal involvement. With evolving management paradigms in Crohn's disease, we aimed to assess the performance of gastroenterologists in applying the Montreal classification.
Methods: An online survey was conducted among participants at an international educational conference on inflammatory bowel diseases.
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