AI algorithm matches radiologists in breast screening exams
December 12, 2017 -- How does an artificial intelligence (AI) algorithm compare to radiologists when it comes to interpreting screening mammography exams? Their performances were fairly comparable, according to research presented at the recent RSNA 2017 meeting in Chicago.  Discuss
Is seeing believing in imaging artificial intelligence?
December 8, 2017 -- Sometimes seeing is believing. An imaging artificial intelligence algorithm that can show why it made its diagnosis can go a long way toward building radiologist confidence in its findings, according to a scientific presentation at the recent RSNA 2017 meeting in Chicago.
Machine learning can help predict KRAS mutation status
November 30, 2017 -- CHICAGO - Machine learning and quantitative MRI features can assist in predicting the KRAS mutation status of tumors in patients with metastatic colon cancer, according to research presented on Wednesday at the RSNA 2017 meeting.  Discuss
The 2017 PACSman Awards: Old MacDonald had a farm -- AI, AI, oh
November 30, 2017 -- CHICAGO - Anywhere you saw a crowd of people at this year's RSNA meeting, you knew there was a demo or presentation on artificial intelligence (AI), says Michael J. Cannavo, aka the PACSman. He offers his take on the meeting and some of the hits and misses in his ever-popular PACSman Awards.  Discuss
Philips highlights MRI, CT, and augmented radiology at RSNA
November 29, 2017 -- CHICAGO - Philips Healthcare is demonstrating a new value-oriented MRI scanner for international markets, an upgrade to its spectral CT platform, and new gamma cameras in its booth at RSNA 2017. The vendor is also giving attendees a look at the future of augmented radiology, as well as new relationships in 3D printing.  Discuss
Video from RSNA 2017: Is the future of radiology augmented?
November 29, 2017 -- CHICAGO - The rapid proliferation of new technologies in healthcare is prompting some to predict that radiologists of the future will practice in a discipline that's augmented by artificial intelligence, virtual reality, and other techniques that maximize their capabilities. We discuss radiology's augmented future with Dr. Jesse Courtier of the University of California, San Francisco.  Discuss
Deep learning can quantify CAC on low-dose CT
November 29, 2017 -- CHICAGO - A deep-learning algorithm can automatically calculate coronary artery calcium (CAC) scores from lung cancer screening CT exams and facilitate risk stratification in these patients, according to research presented on Tuesday at RSNA 2017.  Discuss
Shalom, Chicago: Israel shares 90 years of innovation
November 29, 2017 -- Medical imaging in Israel has a rich heritage and a bright future, and radiologists there are at the cutting edge of technological change and provide outstanding diagnostic and interventional services, Dr. Jacob Sosna, president of the Israel Radiological Association, told RSNA 2017 delegates on Tuesday.  Discuss
Video from RSNA 2017: How will AI change radiology?
November 27, 2017 -- CHICAGO - The past year has witnessed huge advances in the development of artificial intelligence (AI) for healthcare applications. What impact will this new generation of AI software have on radiology? Dr. Paul Chang of the University of Chicago offers his thoughts in this interview.  Discuss
Deep-learning algorithm can stratify lung nodule risk
November 26, 2017 -- CHICAGO - A deep-learning algorithm can automatically assess a lung nodule's risk of malignancy with a high level of accuracy, according to a presentation on Sunday at the RSNA 2017 meeting.  Discuss