Introducing Artificial Intelligence Training in Medical Education
By Ketan Paranjape, Michiel Schinkel, R. N. Nannan Panday, Josip Car, Prabath W. B. Nanayakkara. JMIR Medical Education, 2019
491 citations recorded by the source corpus.
Health care is evolving and with it the need to reform medical education. As the practice of medicine enters the age of artificial intelligence (AI), the use of data to improve clinical decision making will grow, pushing the need for skillful medicine-machine interaction. As the rate of medical knowledge grows, technologies such as AI are needed to enable health care professionals to effectively use this knowledge to practice medicine. Medical professionals need to be adequately trained in this new technology, its advantages to improve cost, quality, and access to health care, and its shortfalls such as transparency and liability. AI needs to be seamlessly integrated across different aspects of the curriculum. In this paper, we have addressed the state of medical education at present and have recommended a framework on how to evolve the medical education curriculum to include AI.
Subfields: Artificial Intelligence, Health Informatics, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/c4e255a80cb86de26003930a16a4c16b7270e8c5
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Citations in the corpus
- The Recent Progress and Applications of Digital Technologies in Healthcare: A Review (2020, background): “Medical education mostly relies on patient care, medical knowledge, communication skills, practice-based learning, professionalism, and systems-based practice [48, 49].”
- ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns (2023, background): “This is related to the massive information and various concepts that health care students are required to grasp [19].”
- The rise of ChatGPT: Exploring its potential in medical education (2023, background): “26 Medical education often involves the sharing of sensitive information, such as patient data, between students, teachers, and medical professionals.”
- Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector (2023, unknown): “The researcher suggested a stepwise method to provide AI education and its related applications in healthcare sector to future health professionals that initiates from undergraduate programs to onwards specializations in medical education [35].”