Can deep learning characterize breast tumors on SWE?
November 15, 2016 -- Deep learning can accurately differentiate benign and malignant breast tumors on ultrasound shear-wave elastography (SWE) and outperform methods typically used in computer-aided diagnosis software, according to research published in the December issue of Ultrasonics.  Discuss
Article suggests digital technology has ruined radiology
October 27, 2016 -- Has digital technology -- specifically PACS -- ruined radiology as a medical specialty? That's the provocative suggestion of a new article published on October 25.  Discuss
Doctors beat computers in head-to-head diagnostic test
October 12, 2016 -- Artificial intelligence may be the future of healthcare, but it's not there yet. That could be the lesson from a head-to-head test that pitted a group of internal medicine physicians against a commonly used symptom-checker app for diagnosing a set of clinical conditions.  Discuss
IBM Watson unites with Siemens in population health play
October 11, 2016 -- Two corporate giants are joining forces in an aggressive bid to make big-data analysis a reality for managing population health. IBM has signed an agreement with Siemens Healthineers that makes its Watson Health artificial intelligence technology available to Siemens customers.  Discuss
Will machine learning turn radiologists into losers?
October 5, 2016 -- Machine learning will "displace much of the work of radiologists" and other physicians who rely on interpreting digitized images, according to an opinion article published September 29 in the New England Journal of Medicine.  Discuss
The 3 biggest threats to radiology
October 3, 2016 -- Radiology has long been an attractive field for physicians-in-training, with its generous salaries, (relatively) low rates of malpractice claims, and the consistent challenge of technological advances. But the field faces at least three threats going forward, according to an article published online in the Journal of the American College of Radiology.  Discuss
AI could help reduce unnecessary breast biopsies
August 29, 2016 -- Artificial intelligence (AI) technology could help reduce unnecessary breast biopsies, according to a new study published online August 29 in Cancer.  Discuss
How soon will deep learning affect radiology?
August 18, 2016 -- For radiologists concerned about the arrival of deep learning, the future might be here sooner than you think. Deep-learning algorithms could begin producing radiology reports for basic studies like mammography and chest x-rays in as soon as five years, and for most types of imaging studies over the next 20 years.  Discuss
Will AI soon put radiologists out of a job?
July 11, 2016 -- Are radiologists really "wasted protoplasms" -- as allegedly described recently by a CEO of a medical imaging start-up company -- who can be easily replaced in the future with artificial intelligence (AI) technology? Not so fast, according to Dr. Eliot Siegel of the University of Maryland.  Discuss
IBM launches initiative to advance Watson in imaging
June 22, 2016 -- Moving closer to commercializing its Watson artificial intelligence technology in imaging applications, IBM announced on Wednesday that it's teaming up with a broad spectrum of partners to help train, test, develop, and deploy Watson in a wide range of organ systems and disease states.  Discuss