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
Can AI diagnose pneumonia better than radiologists?
November 17, 2017 -- An artificial intelligence (AI) algorithm developed by Stanford University researchers can detect 14 types of medical conditions on chest x-ray images, and it's even able to diagnose pneumonia better than expert radiologists, according to a paper published November 14 on arXiv.org.  Discuss
Deep learning shows promise for bone age assessment
November 16, 2017 -- A deep-learning convolutional neural network algorithm can estimate skeletal maturity on pediatric hand radiographs as accurately as expert radiologists -- and nearly as accurately as a commercial computer-aided diagnosis software application, according to research published online in Radiology.  Discuss
Deep learning differentiates liver masses on CT
November 10, 2017 -- A deep-learning approach using a convolutional neural network can accurately classify liver masses into five categories based on dynamic contrast-enhanced CT images, according to research from Japan published online recently in Radiology.  Discuss
Artificial intelligence may help bridge experience gap for liver CEUS
November 9, 2017 -- Can a computer-aided diagnosis system based on machine learning characterize focal liver lesions on contrast-enhanced ultrasound (CEUS) cine clips as accurately as an expert reader? It's certainly possible, if research published online recently in Radiology is any indication.  Discuss
Machine learning helps predict exam wait times, delays
November 6, 2017 -- Accurately predicting how long patients may have to wait for their imaging exams is key for both practice management and patient satisfaction. Machine learning may be able to help, according to a study published online October 24 in the Journal of the American College of Radiology.  Discuss