Artificial Intelligence and Machine Learning in Radiology Education Is Ready for Prime Time

摘要

In summary, AI and machine learning offer the potential to revolutionize the practice of radiology and to add value to patient care. Although some of the technologies are still in their infancy, residency and fellowship training programs need to be proactive by educating the next generation of radiologists in the strengths and weaknesses of these technologies and their potential utility in disease detection, diagnosis, and treatment. These technologies can also aid in standardizing training by allowing the development of standardized case sets and tailoring education for individual trainees to achieve high levels of competence. Standardizing assessment with this technology will remove subjectivity from the equation, thereby elevating the quality of residency graduates and, ultimately, the care provided to patients. Just like CT, MR, and subsequently PET were rapidly adopted into practice, the time has come for educators to embrace AI and machine learning the potential to add value and advance radiology practice is a no-brainer.