Artificial intelligence in medical education

Masters, Ken

doi:10.1080/0142159x.2019.1595557

Cited by 210 publications

(181 citation statements)

References 25 publications

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“…A review conducted by Park et al [ 31 ] emphasized the importance of understanding AI to be able to validate the clinical accuracy of AI algorithms. Furthermore, multiple publications stated the need to move beyond traditional medical education, suggested a reform to align education with new practice requirements, and emphasized the role of academics and teachers in the development of appropriate AI application skills [ 32 , 33 , 36 ].…”

Section: Resultsmentioning

confidence: 99%

Artificial Intelligence Education and Tools for Medical and Health Informatics Students: Systematic Review

Sapci

2020

JMIR Med Educ

180

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Background The use of artificial intelligence (AI) in medicine will generate numerous application possibilities to improve patient care, provide real-time data analytics, and enable continuous patient monitoring. Clinicians and health informaticians should become familiar with machine learning and deep learning. Additionally, they should have a strong background in data analytics and data visualization to use, evaluate, and develop AI applications in clinical practice. Objective The main objective of this study was to evaluate the current state of AI training and the use of AI tools to enhance the learning experience. Methods A comprehensive systematic review was conducted to analyze the use of AI in medical and health informatics education, and to evaluate existing AI training practices. PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols) guidelines were followed. The studies that focused on the use of AI tools to enhance medical education and the studies that investigated teaching AI as a new competency were categorized separately to evaluate recent developments. Results This systematic review revealed that recent publications recommend the integration of AI training into medical and health informatics curricula. Conclusions To the best of our knowledge, this is the first systematic review exploring the current state of AI education in both medicine and health informatics. Since AI curricula have not been standardized and competencies have not been determined, a framework for specialized AI training in medical and health informatics education is proposed.

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Section: Resultsmentioning

confidence: 99%

Artificial Intelligence Education and Tools for Medical and Health Informatics Students: Systematic Review

Sapci

2020

JMIR Med Educ

180

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“…They contribute to student learning and offer many possibilities that allow a more personalized and personalized educational advancement for each student. On the other hand, of all the stages offered by the educational system, the field of higher education is the one that best seems to be adapting to these technologies and where the best results are obtained [4,[29][30][31][32][39][40][41]. Especially, in teacher training it is a highly attractive and useful resource because it allows to relate content, develop concepts, establish relationships, correct tasks, tutoring processes supported by virtual assistants, etc.…”

Section: Discussionmentioning

confidence: 99%

Scientific Development of Educational Artificial Intelligence in Web of Science

et al. 2020

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The social and technological changes that society is undergoing in this century are having a global influence on important aspects such as the economy, health and education. An example of this is the inclusion of artificial intelligence in the teaching–learning processes. The objective of this study was to analyze the importance and the projection that artificial intelligence has acquired in the scientific literature in the Web of Science categories related to the field of education. For this, scientific mapping of the reported documents was carried out. Different bibliometric indicators were analyzed and a word analysis was carried out. We worked with an analysis unit of 379 publications. The results show that scientific production is irregular from its beginnings in 1956 to the present. The language of greatest development is English. The most significant publication area is Education Educational Research, with conference papers as document types. The underlying organization is the Open University UK. It can be concluded that there is an evolution in artificial intelligence (AI) research in the educational field, focusing in the last years on the performance and influence of AI in the educational processes.

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“…are likely to be standard practice in future medical practice. 7 , 8 One need to realize that future medical practice will be partnership between physicians and allied healthcare professionals, machines and patients. With AI set to impact on every aspect of healthcare, new roles for health professionals will emerge requiring new medical education.…”

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confidence: 99%

“… 10 They also need to be familiar with principles behind AI in general and for specific AI based tools in addition to learning to communicate with and through AI systems, communicating with patients whose health decisions will be impacted by AI and benefits and biases of AI applications during medical schools. 8 …”

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confidence: 99%