Artificial Intelligence (AI) is increasingly becoming a standard of care in healthcare, yet concerns about its regulation and governing principles persist. Clinical AI started as a solution to individual hospital challenges, but its range has since expanded, making a profound impact across the healthcare sector. Despite various regulatory bodies and organizations providing guidance, a singular…
A Pioneering User of Imaging AI Provides Guidance for Effective Implementation at Your Establishment
In a webinar titled "How it Started vs. How it's Going: AI Early Adopters Discuss how the Technology has Changed Practice," Axel Wismueller, MD, PhD, who is the Director of Artificial Intelligence in Radiology Laboratory, and also from the Department of Imaging Sciences and Department of Biomedical Engineering at University of Rochester Medical Center, shed…
After two decades in healthcare technology, the author has seen numerous promising medtech initiatives fail. Given this, questions arise as to why artificial intelligence (AI) in healthcare will be any different. At present, the field is undergoing a pivotal period, with the rapid adoption and implementation of healthcare AI aligning with mandatory data codification and…
In a recent webinar entitled "How it Started vs. How it’s Going: AI Early Adopters Discuss how the Technology has Changed Practice," Dr. Ryan K. Lee, the Chair of the Department of Diagnostic Radiology at Einstein Healthcare Network - Jefferson Health, shared his insights on the topic of clinical AI reimbursement and funding. The central…
There are several critical components to take into account when analyzing the governance and value realization of clinical AI. Axel Wismueller, MD, PhD, who holds the position of Director of the Artificial Intelligence in Radiology Laboratory at the Department of Imaging Sciences and the Department of Biomedical Engineering at the University of Rochester Medical Center,…