April 25th 2025
Offering expedited calculation of prostate volume, Clarius Prostate AI is reportedly the first AI-enabled prostate measurement tool to garner FDA clearance for use with handheld ultrasound.
Nine Takeaways from Recent Meta-Analysis on Lung Cancer Screening with Low-Dose CT
January 9th 2023From incidental findings and screening for chronic obstructive pulmonary disease (COPD) to surveillance imaging protocols and the advent of artificial intelligence (AI), the authors of a new meta-analysis examine insights and emerging trends from the last two decades of research on the use of low-dose computed tomography (CT) in lung cancer screening.
Can Deep Learning Enhance Ultrasound Assessment of Hepatic Steatosis in Patients with NAFLD?
January 5th 2023In 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).
Recognizing and Addressing Biases with AI and Radiologists
December 20th 2022In a video interview discussing one of her recent lectures at the Radiological Society for North America (RSNA) conference, Nina Kottler, M.D., M.S., noted how the combination of artificial intelligence (AI) and radiologist experience can help mitigate bias limitations with the development of AI algorithms as well as educational biases inherent to a radiologist’s training and experience.
Maximizing Cloud-Based Capabilities in Radiology
December 13th 2022In a recent interview at the Radiological Society of North America (RSNA) conference, Eliot Siegel, M.D., discussed a variety of potential benefits with cloud-based image management in radiology, ranging from enhanced data security and economies of scale to improved access to a variety of artificial intelligence (AI) solutions to increase efficiency.
Emerging Insights on Improving Radiology Workflows
December 9th 2022In a recent video interview from the Radiological Society of North America (RSNA) conference, Tessa Cook, MD, PhD discussed new research on automated de-identification in radiology reports and the potential of artificial intelligence (AI) and natural language processing (NLP) to help address time-consuming challenges in the radiology workflow.
Could an Emerging AI Platform Supplant Traditional MRI for Assessing Prostate Cancer?
December 7th 2022The Food and Drug Administration has granted 510(k) clearance to iQuest (Avenda Health), an artificial intelligence (AI) platform that combines findings from magnetic resonance imaging (MRI), pathology reports and biopsy results to facilitate three-dimensional mapping of prostate cancer.
Can AI Improve the Consistency of Breast Density Assessment by Radiologists?
December 6th 2022In a recent video interview, Susan Holley, MD discussed key findings from a large retrospective longitudinal study, presented at the recent Radiological Society of North America (RSNA) conference, which found that an emerging artificial intelligence (AI) model was over 24 percent more consistent than radiologist assessment of breast density.
Can Emerging AI-Guided Software Rein in Scan Times for Cardiac MRI?
December 1st 2022In a recent video interview, Raymond Y. Kwong, MD, discussed his clinical experience with the Vista.ai (formerly HeartVista) One Click MRI software and recent research, presented at the Radiological Society of North America (RSNA) conference, that revealed a 31 percent decrease in cardiac MRI scan times for patients with cardiomyopathy or structural heart disease.
AI Assessment of 3D Digital Breast Tomosynthesis Images May Help Predict Breast Cancer
November 30th 2022An emerging artificial intelligence algorithm, developed to estimate volumetric breast density from 3D-reconstructed digital breast tomosynthesis images, could potentially facilitate individual risk assessments for breast cancer.
Enhancing MRI Efficiency and Quality: Can the New SIGNA Experience Have an Impact?
November 29th 2022Recently launched at the Radiological Society of North America (RSNA) conference, the SIGNA Experience reportedly features synergistic technologies and artificial intelligence (AI) advances that help improve the efficiency and quality of magnetic resonance imaging.
Deep Learning Model Predicts 10-Year Cardiovascular Disease Risk from Chest X-Rays
November 29th 2022Based on a single existing chest X-ray image, the deep learning model predicts future major adverse cardiovascular events with similar performance to an established risk scoring system and may help identify people for preventive use of statin medication.
Current Insights on AI, Breast Cancer Screening and the FDA
November 8th 2022In a recently published article, researchers from Yale University discuss the pros and cons of current FDA regulations as they apply to the clearance and use of adjunctive artificial intelligence (AI) software with conventional breast cancer screening modalities such as mammography.
Deep Learning Improves CT Guidance for Revascularization of Coronary Total Occlusions
October 31st 2022Emerging research revealed that a deep learning model had a nearly twofold increase in successful segmentation and reconstruction of coronary total occlusions (CTOs) on coronary computed tomography angiogram (CCTA) and a 73 percent reduction in post-processing and measurement time in comparison to a conventional manual approach.
Can AI-Powered Virtual Biopsies Improve Detection of Breast Lesion Subtypes on Digital Mammography?
October 27th 2022In separate test sets of Israeli women and United States women who had either ductal carcinoma in situ or invasive breast cancer, emerging artificial intelligence (AI) algorithms achieved an area under the curve (AOC) of 88 percent and 80 percent, respectively, for malignancy detection.