Artificial intelligence guides lower PET tracer dose
January 11, 2018 -- In PET imaging, the amount of radiotracer dose correlates with the level of image quality. But what if artificial intelligence (AI) could enable PET to be performed using only 1% of current dose levels -- speeding exam times, decreasing radiation exposure, lowering costs, and alleviating shortages in radiotracers?  Discuss
CAD of chest tomosynthesis works best for new readers
December 26, 2017 -- Computer-aided detection (CAD) of digital chest tomosynthesis studies helped improve the diagnostic performance of inexperienced readers in a study by Japanese researchers published December 13 in Radiology. But CAD's effect was not statistically significant with physicians who had more experience.  Discuss
Quantitative analysis may help classify thyroid nodules
December 22, 2017 -- The echogenicity of solid thyroid nodules is often assessed qualitatively during evaluation on ultrasound. But this task can also be performed quantitatively, potentially offering a useful tool for determining malignancy risk, according to research presented at the RSNA 2017 meeting in Chicago.  Discuss
Deep learning analyzes PET for signs of dementia
December 22, 2017 -- A deep-learning algorithm that analyzed FDG-PET was able to differentiate between normal cognition and dementia. Such models could someday help radiologists diagnose Alzheimer's disease, especially if they don't see the condition often, according to a study presented at the RSNA 2017 meeting.  Discuss
AI can spot large pneumothoraces on chest x-ray
December 20, 2017 -- Artificial intelligence (AI) algorithms can automatically detect large pneumothoraces on chest x-ray exams -- potentially speeding up the detection and reporting of these critical findings, according to research presented at the RSNA 2017 meeting in Chicago.  Discuss
FFR-CT algorithm guides management of revascularization
December 18, 2017 -- A deep-learning algorithm that analyzes fractional flow reserve CT (FFR-CT) scans was able to determine almost as well as invasive FFR which patients suspected of having coronary artery disease should be referred for revascularization. The finding could lead to better, less-invasive care, according to a presentation at RSNA 2017.  Discuss
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