Dear Artificial Intelligence Insider,
Welcome to the first issue of the Artificial Intelligence Insider, which you'll receive every six to eight weeks as a wrapup of all of our recent AI coverage. Each edition will also include an exclusive article that subscribers can access before our regular members.
AI shows much potential to enhance the workflow of radiologists, as evidenced by our first Insider Exclusive. A team from Massachusetts General Hospital has developed a deep learning-based platform that can screen chest radiographs for incorrectly positioned peripherally inserted central catheters. The system could alert radiologists to cases that require their immediate attention, according to a presentation at last week's annual meeting of the Society for Imaging Informatics in Medicine (SIIM).
AI was seemingly everywhere at SIIM 2017, both in the scientific program and on the show floor at the David L. Lawrence Convention Center in Pittsburgh. In the opening session, Dr. Keith Dreyer, PhD, discussed how AI is poised to enhance all aspects of radiology. Another presentation reported, for example, how deep learning can also help assess breast density. Stay tuned for further coverage from the meeting.
How will AI affect radiology over the next 20 years? Dr. Bradley Erickson, PhD, and Dr. Eliot Siegel debated this question recently, and you can read all about it by clicking here.
Radiologists shouldn't fear AI, according to a talk by Jeffrey Immelt, chairman and CEO of General Electric, at last month's American College of Radiology (ACR) meeting. Click here for our coverage.
Speaking of the ACR, the organization launched its new Data Science Institute at ACR 2017. Learn how the ACR believes the institute will advance the field of AI by clicking here.
The role of AI in medical imaging was also featured in a number of presentations at last month's NVIDIA GPU Technology Conference. For example, a series of talks made the case that AI will bring doctors and machines together in radiology.
In addition, deep-learning algorithms based on convolutional neural networks will soon help lung cancer patients live longer, according to a report by International Editor Eric Barnes. Another session at the NVIDIA GPU Technology Conference described how deep learning could be used to predict diseases that might develop in the future. Click here for our coverage.
The arrival of AI in radiology means that radiologists must take on new responsibilities to remain integral members of the care team, according to a presentation at the recent Canadian Association of Radiologists annual meeting. You can view that article by clicking here.
Is there a story you'd like to see covered in the Artificial Intelligence Community? Please feel free to drop me a line.
