Latest AI and machine learning research in surveys for healthcare professionals.
BACKGROUND: Large language models (LLMs) offer promising tools for patient education, yet fixed knowledge cutoffs and hallucination risk limit their clinical utility. Current retrieval-augmented generation (RAG) approaches fail to distinguish between stable clinical knowledge and evolving recommendations. METHODS: We developed and evaluated bRAGgen, a temporally anchored RAG framework incorporatin...
Large language models (LLMs) are increasingly used to generate multiple-choice questions (MCQs) in medical education. We conducted a systematic review following PRISMA 2020, searching PubMed, Web of Science, Scopus, and ERIC through 15 February 2026. Two reviewers independently screened 1352 records, extracted data and assessed methodological quality using the Joanna Briggs Institute checklist. Fi...
ObjectiveThe study compared the quality of responses generated by three artificial intelligence chatbots (AICs) for frequently asked questions (FAQs) ...
Genotoxicity assessment is crucial for drug development and chemical safety evaluation. However, traditional experimental approaches are time-consumin...
BACKGROUND: The clinical value of artificial intelligence (AI)-based diagnostic systems depends not only on their accuracy but also on how well their ...
With the widespread application of artificial intelligence in recruitment, algorithmic bias issues have become increasingly prominent, seriously threa...
As generative artificial intelligence (AIGC) tools gain widespread application in creative design, growing concerns have been raised over users' dimin...
Qualitative assessment of surgical skills is central to proficiency-based training but remains difficult to scale due to its reliance on expert evalua...
In response to correspondence from Cognivue, Inc. regarding our publication (Jannati et al., 2025), we clarify that our analysis employed a rigorous p...
BACKGROUND: Generative artificial intelligence (AI) is increasingly used in health communication and nursing education; however, its clinical reliabil...
Artificial intelligence (AI)-generated synthetic data has emerged as a promising solution to address the underrepresentation of underserved population...
STATEMENT OF PROBLEM: Despite the increased use of direct-to-abutment connections for implant-supported fixed complete dental prostheses (ISFCDPs), li...
Despite the potential of Green-Adaptive Green Infrastructure (GAGI) to increase the provision of ecosystem services, and to mitigate urban climate ris...
Diminished drive is one of the core symptoms of major depressive disorder (MDD) diagnosis, yet its underlying neural mechanisms remain elusive, primar...
BACKGROUND: The integration of Artificial Intelligence (AI), particularly Large Language Models (LLMs) such as ChatGPT, into undergraduate medical edu...
BACKGROUND: Smoking is one of the main preventable causes of premature disease and death. Anti-smoking counseling continues to be a challenge to cover...
MOTIVATION: Medical text classification plays a critical role in clinical decision support, automated diagnosis, and biomedical research. However, dee...
BACKGROUND: The rapid development of artificial intelligence, particularly large language models (LLMs) such as ChatGPT, Gemini, and Claude, offers ne...
Rhinoplasty is a commonly performed aesthetic and functional procedure, and patients frequently seek postoperative information beyond routine follow-u...
Clinicians are tasked with predicting and preventing suicidal behavior among their patients; however, there is currently no method for accurately pred...