Latest ACR DSI News

ACR Data Science Institute Showcased at RSNA

CHICAGO — The unofficial theme of RSNA 2017 was artificial intelligence (AI). The American College of Radiology (ACR) Data Science Institute™ (DSI) was a perfect fit.

Read More

The ACR Data Science Institute— Structures Artificial Intelligence Development to Optimize Radiology Care

RESTON — The American College of Radiology Data Science Institute™ (DSI) open source framework for developing radiology AI use cases defines standards for training, testing, validating, integrating and monitoring AI algorithms in clinical practice. Please visit the ACR Data Science Institute Booth (# 8547) in the Machine Learning Showcase (North Building, Hall A) at the 2017 Radiological Society of North American (RSNA) annual meeting.

Read More

Latest AI Assistant Blog Posts

Beyond Interpretation

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

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.

Read More

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

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.

Read More

Latest Resources

ML 101: The Radiologist's Basic Guide

From IBM's Watson to CAD, most radiologists have heard of machine learning. But do you know how this technique is already used in the field? Plus, what does the future hold? The ACR Bulletin brings you FAQs so you can be sure to have the basics down pat.

https://acrbulletin.org/current-issue/120-may2017/1159-radiology-guide-to-mlText

Radiology Leadership Institute Episode 108: Artificial Intelligence Part 1

Mark Michalski, MD, executive director of the Center for Clinical Data Science at Massachusetts General and Brigham Hospital, joins us as we discuss the history of AI, how it's being used today, how it might change radiology, and how radiologists can leverage this new technology to provide even more value and better patient care.

Listen to the episode

Upcoming Events

January 24, 2018, 8-9PM EST

ACR RFS AI Journal Club Meeting

Webinar Drs. Raym Geis, Luke Oakden-Rayner, and Paras Lakhani will participate in panel discussion on "How to Read and Critique Deep Learning Papers." Read More
February 28-March 4, 2018

European Congress of Radiology

Vienna, Austria Keith J. Dreyer, DO, PhD, ACR DSI Chief Science Officer, will lead refresher courses during the conference. Read More
April 22-27, 2018

ARRS 2018

Washington, DC Dr. Allen will discuss DSI initiatives in his presentation "Artificial Intelligence In Radiological Practice: Leveraging The Value Of Radiologists." Read More
May 19-23, 2018

ACR 2018 Annual Meeting

Washington, DC The ACR Annual Meeting next May will feature the activities of the ACR Council along with programming designed to support the needs of Council members, Chapter leaders, the RFS and YPS. Read More