Diagnostic Imaging's Advances in AI: January 2023
Catch up on the top AI-related news and research of the past month.
Diagnostic Imaging's Advances in AI monthly roundup is your chance to catch up on the latest AI news, AI-powered imaging modalities and emerging AI research affecting the field of radiology. Review the slideshow below to see highlights from the past month.
Diagnostic Imaging's Advances in AI: January 2023
Click the arrows above to view top AI-related radiology content from the past month.
Can Deep Learning Enhance Ultrasound Assessment of Hepatic Steatosis in Patients with NAFLD?
In a new prospective study, an emerging deep learning model, which incorporates parametric mapping with quantitative ultrasound to estimate liver fat fraction, demonstrated a 90 percent sensitivity rate and a 91 percent specificity rate for diagnosing hepatic steatosis in patients with non-alcoholic fatty liver disease (NAFLD). READ MORE
Can Deep Learning Assessment of X-Rays Improve Triage of Patients with Acute Chest Pain?
In a study involving patients who presented to emergency departments with acute chest pain, a deep learning model demonstrated significantly improved prediction of aortic dissection and all-cause mortality and indicated that additional pulmonary and cardiovascular testing could be deferred in seven times as many patients as suggested by conventional risk factors and testing measures. READ MORE
Deep Learning Model May Predict Lung Cancer Risk from a Single CT Scan
Trained and developed on over 35,000 low-dose computed tomography (LDCT) scans and validated in three independent data sets, a deep learning algorithm demonstrated an average area under the curve (AUC) of 90.6 percent for predicting lung cancer within one year. READ MORE
Viz.ai Launches AI-Powered Vascular Imaging Software
The artificial intelligence (AI)-enabled Viz™ Vascular Suite reportedly allows automated detection of vascular conditions, shown on computed tomography (CT) and other imaging modalities, and facilitates timely triage among interdisciplinary teams. READ MORE
Can Multimodal AI Improve Cancer Detection in Dense Breasts?
Emerging research suggests combined artificial intelligence (AI) assessment of digital mammography and automated 3D breast ultrasound provides enhanced detection of breast cancer in women with dense breasts and may be a viable alternative in areas where radiologists are scarce. READ MORE
