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Kevin Haines, D.O. | PGY-4 | University of Connecticut Health Center, a resident at UConn Health Center, recently attended an ACR Data Science Institute conference and shares a well-written comprehensive summary. The weekend’s agenda addressed Radiology’s challenges, AI’s potential, and the future of AI safety, security, and regulation.
Shared Goals, Improved Outcomes: Key Takeaways from the 2024 QSI Conference
Future of AI, Ethics of AI, Benefits of AI
October 1, 2024 | Kevin Haines, D.O.
Kevin Haines, D.O., PGY-4, University of Connecticut Health Center, Farmington, CT
The rapid rise of artificial intelligence (AI) once promised to address radiology's growing workforce shortages and the increasing demand for imaging, all without compromising quality or safety. Instead, much like the Boeing StarLiner capsule, it has returned to Earth with more questions than answers.
Thankfully, there is a dynamic and dedicated cohort of radiologists, operational managers, technologists, and vendors who are eager to engage with all stakeholders in Radiology: private practices, academic institutions, public regulatory committees, and educators. The American College of Radiology’s 2024 Quality & Safety + Informatics (QS+I) Conference held in Washington D.C. served as an open forum to dissect complex issues and reimagine solutions for Radiology institutions and enterprises. In their opening remarks, Drs. Schlomit Goldberg-Stein and Gloria Hwang, Chair and Vice Chair of the Quality and Safety portion of the meeting, emphasized peer learning as the cultural glue holding the QS+I community together. The weekend’s agenda addressed Radiology’s challenges, AI’s potential, and the future of AI safety, security, and regulation.
Read the entire summary ›
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