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Digital Education for the Deployment of Artificial Intelligence in Healthcare
Fernando Korn Malerbi;
Luis Filipe Nakayama;
Robyn Gayle Dychiao;
Lucas Zago Ribeiro;
Cleva Villanueva;
Leo Anthony Celi;
Caio Vinicius Regatieri
ABSTRACT
Artificial Intelligence represents a milestone in the digital transformation of healthcare; however, traditional education and training of healthcare professionals seldom encompass digital competencies.
Competencies should include basic knowledge of machine learning and neural networks, critical evaluation of datasets, integration within clinical workflows, biases control, the value of clinical deployment to healthcare tasks, human-machine interaction in clinical settings, legal and ethical aspects, and clinical judgment of AI adoption’s impact on the healthcare system.
Misconceptions and unfounded fears may jeopardize the real-life implementation of AI systems in healthcare. Albeit multiple barriers to the promote digital literacy exist, including time and the over-burdened curricula, along with the shortage of capacitated professionals, a partnership between developers, professional societies, and academia, with the integration of specialists from different backgrounds, such as computer scientists, mathematician, statistician, lawyer, ethics, and social scientists, would greatly contribute to advance tackling digital illiteracy.