Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, ventilators and other critical equipment, and pharmaceuticals during pandemics. Triage artificial intelligence (AI) algorithms based on prognostication...
BACKGROUND: Dentistry is shifting from traditional to digital practices owing to the rapid development of "artificial intelligence" (AI) technology in healthcare systems. The dental curriculum lacks the integration of emerging technologies such as AI...
BACKGROUND: The rapid integration of digital technologies in health care has emphasized the need to ensure that medical students are well-equipped with the knowledge and competencies related to digital health.
BACKGROUND: Rapid technological advancements have left medical graduates potentially underprepared for the digital healthcare environment. Despite the importance of digital health education, consensus on essential primary medical degree content is la...
Generative artificial intelligence, including large language models (LLMs), holds immense potential to enhance healthcare, medical education, and health research. Recognizing the transformative opportunities and potential risks afforded by LLMs, the ...
Studies in health technology and informatics
Apr 24, 2025
BACKGROUND: Applications of artificial intelligence (AI) are finding their way into many areas of society, including healthcare and show their potential in this domain. To evaluate these new technologies and use them wisely, healthcare professionals ...
Studies in health technology and informatics
Apr 8, 2025
As artificial intelligence (AI) becomes increasingly influential in healthcare, there is a pressing need for medical professionals to gain a comprehensive understanding of its applications, particularly in complex areas such as rare diseases, where d...
BACKGROUND: Large language models (LLMs) have revolutionized the way physicians access and leverage artificial intelligence (AI). The potential role of AI in facilitating aesthetic medical education remains to be established.
BACKGROUND: Applications of artificial intelligence (AI) in medicine are expanding every year. AI education is crucial to its appropriate use in healthcare; however, most US medical schools lack a dedicated AI curriculum. These resources are sparse f...
OBJECTIVES: To explore nursing students' perceptions and understanding of artificial intelligence (AI), aiming to identify and address critical knowledge gaps to support effective integration into educational practices.
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