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/PMC11324163 | PMC |
| http://dx.doi.org/10.4300/JGME-D-23-00823.1 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data.
ACS Sens
September 2025
Institute of Applied Mechanics, National Taiwan University, Taipei 106, Taiwan.
In recent AI-driven disease diagnosis, the success of models has depended mainly on extensive data sets and advanced algorithms. However, creating traditional data sets for rare or emerging diseases presents significant challenges. To address this issue, this study introduces a direct-self-attention Wasserstein generative adversarial network (DSAWGAN) designed to improve diagnostic capabilities in infectious diseases with limited data availability.
View Article and Find Full Text PDFIntegrating Generative Artificial Intelligence in Midwifery Education: Balancing Innovation, Ethics, and Academic Integrity.
J Midwifery Womens Health
September 2025
General Education Department Chair, Midwives College of Utah, Salt Lake City, Utah.
Applications driven by large language models (LLMs) are reshaping higher education by offering innovative tools that enhance learning, streamline administrative tasks, and support scholarly work. However, their integration into education institutions raises ethical concerns related to bias, misinformation, and academic integrity, necessitating thoughtful institutional responses. This article explores the evolving role of LLMs in midwifery higher education, providing historical context, key capabilities, and ethical considerations.
View Article and Find Full Text PDFCan ChatGPT-4.5 Accurately Identify Teeth? A Cross-Sectional Comparison With Dental Students and Parents.
Int J Paediatr Dent
September 2025
Lokman Hekim University, Faculty of Dentistry, Department of Pediatric Dentistry, Ankara, Turkey.
Background: Differentiating between primary and permanent teeth is a critical component of oral health knowledge, influencing both preventive care and clinical decisions. With the growing use of artificial intelligence (AI) in healthcare and education, its role in supporting learning is of increasing interest.
Aim: This study evaluated the diagnostic accuracy and internal consistency of ChatGPT-4.
Designing an AI companion to support informal caregivers in role transition: insights from a design science approach.
BMC Nurs
September 2025
Institute of Business Administration and Business Informatics, IT for the Caring Society, University of Hildesheim, Hildesheim, Germany.
Background: As populations age, informal caregivers play an increasingly vital role in long-term care, with 80% of care provided by family members in Europe. However, many individuals do not immediately recognize themselves as caregivers, especially in the early stages. This lack of awareness can increase physical and emotional stress and delay access to support services.
View Article and Find Full Text PDFGenerative AI in perioperative medicine and anesthesiology: ethical integration, educational innovation, and the future of clinical professionalism.
J Anesth
September 2025
Community Medicine Education Promotion Office, Faculty of Medicine, Kagawa University Ikenobe, 1750-1, Miki-Cho, Kagawa, 761-0793, Japan.
Generative artificial intelligence (AI) is rapidly transforming perioperative medicine, particularly anesthesiology, by enabling novel applications, such as real-time data synthesis, individualized risk prediction, and automated documentation. These capabilities enhance clinical decision-making, patient communication, and workflow efficiency in the operating room. In education, generative AI offers immersive simulations and tailored learning experiences that improve both technical skills and professional judgment.
View Article and Find Full Text PDF