The AI Assistant blog offers valuable information and perspectives from radiologists, patients, data scientists, and other stakeholders about artificial intelligence in medical imaging.

Beyond Interpretation

Artificial intelligence will do more than identify findings to increase radiologists’ value.
By Woojin Kim, MD | Physician | Dec. 14, 2017
Artificial intelligence will do more than identify findings to increase radiologists value

Today, plenty of hope, fear, and hype surround the use of artificial intelligence (AI) in radiology. With media attention and many startups focused on using AI to identify findings within medical images, it’s easy for us in the radiology profession to have "tunnel vision" about AI in our field. However, it’s important to widen our aperture to see the many other ways AI can benefit medical imaging.

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Entering the Real World of Artificial Intelligence

Integrating artificial intelligence into radiology is not as simple as it appears.
By Raym Geis, MD, FACR | Physician | Nov. 20, 2017
Entering the Real World of Artificial Intelligence

If you’ve ever used the search program on your smartphone to find all your photos of a special person or your pet, you are already using artificial intelligence (AI) for image interpretation

While it looks like magic, AI programs that differentiate photos of cats from dogs, and even your own pet from others, are usually based on conventional mathematical optimization.

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Getting Acquainted with AI in Medical Imaging

A list of resources curated by an IT manager provides a starting point.
By John Gagnon | IT Manager | Nov. 3, 2017
Getting Acquainted with AI in Medical Imaging

So you want to learn about Artificial Intelligence (AI) but don’t know where to start? A Google search for “resources for artificial intelligence” yields more than 25 million results, so it’s understandable why you might feel overwhelmed. Adding “in radiology” prunes the list down to an only slightly less cumbersome 459,000 results. What follows is a brief collection of resources culled from these nearly half-million hits — a starting point to help you learn the basics of AI in medical imaging.

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AI in Imaging: A Patient’s Perspective

A patient wants radiologists to remain involved in AI era.
By David Andrews | Patient | Oct. 4, 2017
AI in Imaging: A Patient’s Perspective

To explain how I view artificial intelligence (AI) in medicine, I like to use car repair as an analogy. As car repair is about vehicle maintenance, medicine is, in essence, about the maintenance and repair of people.

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Imaging 3.0 Meets Artificial Intelligence

Artificial intelligence provides another tool in the Imaging 3.0 toolkit.
By Bibb Allen Jr., MD, FACR | Physician | Sept. 20, 2017
Imaging 3.0 Meets Artificial Intelligence

For the past five years, ACR’s Imaging 3.0 initiative has been the toolkit that we, as radiologists, have used to enhance our value beyond our interpretations to be better stewards of imaging appropriateness, provide a more patient-centered focus within our practices, and prepare for the evolution of healthcare financing and federal payment policy. Imaging 3.0 continues to challenge us to take ownership of our patients’ entire imaging experience, and now, we have a new tool in the kit that will help us further increase the value we bring to patient care at each step in the imaging value chain: artificial intelligence (AI).

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The Future Radiologist

With the advent of artificial intelligence, the best radiologists will no longer be those with the sharpest eyes.
By Arun Krishnaraj, MD, MPH | Physician | Sept. 6, 2017
The Future Radiologist

Dr. Abadi enters the dimly lit reading room for the first time since her medical student rotations in radiology. After a grueling intern year in surgery, she appreciates the relative calm of the reading room and looks forward to beginning her radiology residency. As she logs into her workstation for the first time, she turns to an upper-level resident and asks, “So who’s the best radiologist in the department?”

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I’m Your AI Assistant: How Can I Help?

AI Assistant blog offers valuable information and insights about AI in medical imaging.
By Bibb Allen Jr., MD, FACR | Physician | Aug. 23, 2017
I’m Your AI Assistant: How Can I Help?
AI Assistant Blog

Around the turn of the 20th century, Nikola Tesla, the Serbian-American inventor well known to radiologists and radiation oncologists as a physicist and futurist, made a bold prediction about how technology and humans would one day coexist. He said, “In the 21st century, the robot will take the place which slave labor occupied in ancient civilization.”

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