AIMC Topic: Curriculum
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Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties.
BMC medical education
Sep 28, 2024
BACKGROUND: The successful integration of artificial intelligence (AI) in healthcare depends on the global perspectives of all stakeholders. This study aims to answer the research question: What are the attitudes of medical, dental, and veterinary st...
Surface and deep learning: a blended learning approach in preclinical years of medical school.
BMC medical education
Sep 19, 2024
BACKGROUND: Significant challenges are arising around how to best enable peer communities, broaden educational reach, and innovate in pedagogy. While digital education can address these challenges, digital elements alone do not guarantee effective le...
The effect of artificial intelligence supported case analysis on nursing students' case management performance and satisfaction: A randomized controlled trial.
Nurse education in practice
Sep 12, 2024
BACKGROUND: Rapid developments in artificial intelligence have begun to necessitate changes and transformations in nursing education.
CORR® Curriculum-Orthopaedic Education: Artificial Intelligence and Surgical Assessment.
Clinical orthopaedics and related research
Sep 3, 2024
The use of artificial intelligence for graduate nursing education: An educational evaluation.
Journal of the American Association of Nurse Practitioners
Sep 1, 2024
With artificial intelligence (AI) rapidly advancing, advanced practice nurses must understand and use it responsibly. Here, we describe an assignment in which Doctor of Nursing Practice (DNP) students learned to use generative text AI. Using our prog...
Integration of ChatGPT Into a Course for Medical Students: Explorative Study on Teaching Scenarios, Students' Perception, and Applications.
JMIR medical education
Aug 22, 2024
BACKGROUND: Text-generating artificial intelligence (AI) such as ChatGPT offers many opportunities and challenges in medical education. Acquiring practical skills necessary for using AI in a clinical context is crucial, especially for medical educati...
Utilizing natural language processing to analyze student narrative reflections for medical curriculum improvement.
Medical teacher
Aug 20, 2024
MOTIVATION: Medical curricula improvement is an ongoing process to keep material relevant and improve the student's learning experience to better prepare them for patient care. Many programs utilize end-of-year evaluations, but these frequently have ...
Reforming China's Secondary Vocational Medical Education: Adapting to the Challenges and Opportunities of the AI Era.
JMIR medical education
Aug 15, 2024
China's secondary vocational medical education is essential for training primary health care personnel and enhancing public health responses. This education system currently faces challenges, primarily due to its emphasis on knowledge acquisition tha...
A review of ophthalmology education in the era of generative artificial intelligence.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Aug 10, 2024
PURPOSE: To explore the integration of generative AI, specifically large language models (LLMs), in ophthalmology education and practice, addressing their applications, benefits, challenges, and future directions.
Empowering Early Career Neurosurgeons in the Critical Appraisal of Artificial Intelligence and Machine Learning: The Design and Evaluation of a Pilot Course.
World neurosurgery
Jul 27, 2024
BACKGROUND: Artificial intelligence (AI) is expected to play a greater role in neurosurgery. There is a need for neurosurgeons capable of critically appraising AI literature to evaluate its implementation or communicate information to patients. Howev...
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