Sharing AI Lessons Learned

This post was contributed by Alexander M. Norbash, MD, FACR, member of the Radiology Leadership Institute® (RLI) Board and chair of the RLI Summit.

Norbash_AWill artificial intelligence (AI) revolutionize radiology and medicine? Are radiology and AI slated to be future frenemies? So many questions — so few answers at this point.

This is why we may look for clarity from the lessons learned from our pathologist colleagues.

David N. Louis, MD, pathologist-in-chief at Massachusetts General Hospital, Boston, will share how that specialty has approached the opportunities and challenges of AI during the Radiology Leadership Institute® (RLI) Summit.

He will talk about areas in which pathology has connected with AI. These include image-based analysis in addition to understanding how bio-informatics derived from large data sets and laboratory science can benefit patients and society. Radiology and pathology are close siblings; there’s much for us to learn from pathology.

  • How are pathologists dealing with the technological evolution?
  • What have they learned?
  • What recommendations can we take away?

Besides this discussion, Anne Le Grand, general manager of Watson Health Imaging, will explore the potential of cognitive imaging to aid radiologists in delivering high-quality, patient-centered care in “Watson Health: Empowering Heroes, Transforming Health.” Additionally, the Radiology Leadership Institute offers a new podcast from Mark Michalski, MD, on “Artificial Intelligence and the Future of Radiology.”

Last week, Dr. Geraldine McGinty wrote, “Radiology must shape future health care or be shaped by someone else’s vision of 21st century medicine” in talking about the American College of Radiology (ACR) Data Science Institute (DSI).

We should embrace AI and incorporate it into our evolution, rather than seeing it as a competitor; to that end, we need to more fully understand it.

  • What future do you envision with radiology and AI?
  • Will AI increase our efficiency and help radiologists be more valuable?

 Please share your thoughts in the comments section below and join the discussion on Engage (login required).


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