Rishi M Shah, Kavya M Shah, Piroz Bahar, Cornelius A James
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引用次数: 0
Abstract
The recent excitement surrounding artificial intelligence (AI) in health care underscores the importance of physician engagement with new technologies. Future clinicians must develop a strong understanding of data science (DS) to further enhance patient care. However, DS remains largely absent from medical school curricula, even though it is recognized as vital by medical students and residents alike. Here, we evaluate the current DS landscape in medical education and illustrate its impact in medicine through examples in pathology classification and sepsis detection. We also explore reasons for the exclusion of DS and propose solutions to integrate it into existing medical education frameworks.
期刊介绍:
Medical Science Educator is the successor of the journal JIAMSE. It is the peer-reviewed publication of the International Association of Medical Science Educators (IAMSE). The Journal offers all who teach in healthcare the most current information to succeed in their task by publishing scholarly activities, opinions, and resources in medical science education. Published articles focus on teaching the sciences fundamental to modern medicine and health, and include basic science education, clinical teaching, and the use of modern education technologies. The Journal provides the readership a better understanding of teaching and learning techniques in order to advance medical science education.