Educational platform releases AI course geared toward radiology administrators, technologists
The American Board of Artificial Intelligence in Radiology announced the release of a new course meant to educate technologists and radiology administrators on departmental artificial intelligence use and implementation.
“We are proud to be the founding members of this new educational venture and are excited at the opportunity to expand the certifications for radiology administrators and technologists,” said Tom McLaughlin, RT, MBA, founding member of ABAIRTM said in an August 8 statement. “We feel strongly that additional education and certification provides medical professionals with essential tools to help their department effectively analyze the growing volume of AI technology becoming available to their facilities.”
The course is two days long and takes place on site in Las Vegas, Nevada on November 15-16, 2022. The primer course includes information on AI terminology, information technology principles, medical and legal considerations that accompany AI implementation and HIPAA compliance information pertaining to the technology’s use in clinical settings.
Not if, but when.
The ABAIRTM website indicates that those who complete the course will be equipped with the knowledge required to make decisions regarding integrating artificial intelligence technologies into clinical workflows, allowing for more seamless implementation—not if, but when—the time comes for the everyday use of AI software in radiology departments.
“There is no doubt that AI is coming to radiology at a rapid pace,” said Orest Boyko, MD, founding member of ABAIRTM. “This course will empower the people that attend with insight into AI and its impact on their departments.”
ABAIRTM is a newly formed educational platform that was founded by four individuals with varying degrees of experience in different aspects of radiology and radiology education. The platform puts a strong emphasis on educating frontline administrators and technologists on the use of artificial intelligence and its impact on clinical settings and workflows.
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