New research suggests that an emerging predictive biomarker, derived from a combination of magnetic resonance imaging (MRI) brain scans and a machine learning algorithm, has significantly greater accuracy than previously established measurements for diagnosing Alzheimer’s disease.
In a recent video interview, abdominal radiologist Sonia Gupta, MD discussed key principles in assessing potential alliances with artificial intelligence (AI) vendors and the potential of AI to alleviate the time-consuming, administrative aspects of patient care.
Weighing the pros and cons of W2 versus 1099 status, this author discusses the potential impact on retained earnings in radiology, retirement savings and the stress of April 15 and quarterly estimated tax payments.
Despite increased use of preoperative magnetic resonance imaging (MRI) in recent years for patients undergoing surgery for prostate cancer, a study found that over 70 percent of a large Medicare population with prostate cancer did not have a preoperative MRI scan as of 2015.
Noting that an AI software platform could save radiologists up to an hour a day in interpreting chest computed tomography (CT) scans, the authors of a prospective study found shorter mean interpretation times with non-contrast and contrast-enhanced CT as well as positive CT scans with and without significant new findings.