Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11108673 | PMC |
| http://dx.doi.org/10.31661/gmj.v12i.3106 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Student Perceptions of a Custom Artificial Intelligence Clinical Case Companion.
J Physician Assist Educ
September 2025
Andrew P. Chastain, DMS, PA-C, is an assistant professor at Butler University, Indianapolis, Indiana.
Introduction: Artificial intelligence tools show promise in supplementing traditional physician assistant education, particularly in developing clinical reasoning skills. However, limited research exists on custom Generative Pretrained Transformer (GPT) applications in physician assistant (PA) education. This study evaluated student experiences and perceptions of a custom GPT-based clinical reasoning tool.
View Article and Find Full Text PDFThe ethics of Artificial Intelligence-based psychotherapy and the future of psychiatry.
Int Rev Psychiatry
September 2025
Institute of Psychiatry, Emeritus Mental Health & Cultural Diversity, IoPPN, Kings College, London, United Kingdom.
With increasing use of AI in public life, various technological tools like ChatGPT are being used for psychotherapy. Psychiatrists face unique ethical challenges in understanding their use. Clinicians have an obligation to advise policymakers and to update scope of practice laws related to the mental health workforce and technology.
View Article and Find Full Text PDFArtificial Intelligence in Cardiac Treatment Decision-Making: An Evaluation of the Performance of ChatGPT Versus the Heart Team in Coronary Revascularization.
Rev Cardiovasc Med
August 2025
Cardiovascular Surgery Department, Ankara Bilkent City Hospital, 06800 Ankara, Turkey.
Background: This study aimed to investigate the performance of two versions of ChatGPT (o1 and 4o) in making decisions about coronary revascularization and to compare the recommendations of these versions with those of a multidisciplinary Heart Team. Moreover, the study aimed to assess whether the decisions generated by ChatGPT, based on the internal knowledge base of the system and clinical guidelines, align with expert recommendations in real-world coronary artery disease management. Given the increasing prevalence and processing capabilities of large language models, such as ChatGPT, this comparison offers insights into the potential applicability of these systems in complex clinical decision-making.
View Article and Find Full Text PDFChatGPT in Nursing: Applications, Advantages, and Challenges in Education, Research, and Clinical Practice.
Ann Biomed Eng
September 2025
Department of Midwifery, Faculty of Health Sciences, Sakarya University, 54100, Sakarya, Turkey.
The incorporation of AI-supported language models into the healthcare sector holds significant potential to revolutionize nursing education, research, and clinical practice. Within this framework, ChatGPT has emerged as a valuable tool for personalizing educational materials, enhancing academic productivity, expediting clinical decision-making processes, and optimizing research efficiency. In the realm of nursing education, ChatGPT offers numerous advantages, including the preparation of course content, facilitation of student assessments, and the development of simulation-based learning environments.
View Article and Find Full Text PDFComparative performance of neurosurgery-specific, peer-reviewed versus general AI chatbots in bilingual board examinations: evaluating accuracy, consistency, and error minimization strategies.
Acta Neurochir (Wien)
September 2025
Department of Neurosurgery, Istinye University, Istanbul, Turkey.
Background: Recent studies suggest that large language models (LLMs) such as ChatGPT are useful tools for medical students or residents when preparing for examinations. These studies, especially those conducted with multiple-choice questions, emphasize that the level of knowledge and response consistency of the LLMs are generally acceptable; however, further optimization is needed in areas such as case discussion, interpretation, and language proficiency. Therefore, this study aimed to evaluate the performance of six distinct LLMs for Turkish and English neurosurgery multiple-choice questions and assess their accuracy and consistency in a specialized medical context.
View Article and Find Full Text PDF