The Diagnostic Imaging AI (artificial intelligence) focus page provides information, videos, podcasts, and the latest news about product developments, trial results, screening guidelines, and protocol guidance that touch on the development and use of AI across the healthcare continuum.
July 23rd 2024
For women with dense breasts, the combination of mammography and supplemental breast ultrasound had a 36.4 percent higher sensitivity rate for detecting breast cancer in comparison to the combination of mammography and adjunctive AI, according to a new study.
25th Annual International Lung Cancer Congress®
July 25-27, 2024
Register Now!
2023 ASCO Direct™ Highlights: Practice-Changing Data From the Leading Oncology Conference
View More
6th Annual Precision Medicine Symposium: An Illustrated Tumor Board
October 18-19, 2024
Register Now!
Community Practice Connections™: 24th Annual International Lung Cancer Congress®
View More
19th Annual New York Lung Cancers Symposium®
November 16, 2024
Register Now!
Medical Crossfire®: How Do the Experts Select and Sequence Therapies to Optimize Patient Outcomes and Quality of Life in Advanced Prostate Cancer?
View More
Medical Crossfire®: How Does Recent Evidence on PARP Inhibitors and Combinations Inform Treatment Planning for Prostate Cancer Now and In the Future?
View More
Lung Cancer Tumor Board®: Enhancing Multidisciplinary Communication to Optimize Immunotherapy in Stage I-III NSCLC
View More
Clinical Vignettes™: The Experts Explain How They Integrate PET Imaging into Metastatic HR+ Breast Cancer Care Settings
View More
School of Breast Oncology® Live Video Webcast: Clinical Updates from San Antonio
View More
Annual Hawaii Cancer Conference
January 25-26, 2025
Register Now!
21st Annual International Symposium on Melanoma and Other Cutaneous Malignancies®
February 8, 2025
View More
Community Practice Connections™: The 2nd Annual Hawaii Lung Cancers Conference®
View More
Clinical Case Vignette Series™: 41st Annual Miami Breast Cancer Conference®
View More
Medical Crossfire®: How Can Thoracic Teams Facilitate Optimized Care of Patients With Stage I-III EGFR Mutation-Positive NSCLC?
View More
Lung Cancer Tumor Board®: How Do Emerging Data for ICIs, BiTEs, ADCs, and Targeted Strategies Address Unmet Needs in the Therapeutic Continuum for SCLC?
View More
Can Deep Learning Enhance Pulmonary Nodule Detection on Chest X-Rays?
February 1st 2023In an external validation data set for a deep learning bone-suppressed (DLBS) model, researchers found that adjunctive use of the DLBS model led to a nearly 15 percent increase in sensitivity for detecting pulmonary nodules on chest X-rays in comparison to radiologist assessment.
Is There Enough AI Emphasis in Radiology Residency Programs?
January 30th 2023In a new survey, 83 percent of radiology residents agreed that artificial intelligence/machine learning (AI/ML) should be part of their curriculum but approximately 24 percent of residents said there are currently no AI/ML educational offerings in their residency program.
Could an Emerging Deep Learning Modality Enhance CCTA Assessment of Coronary Artery Disease?
January 26th 2023Employing deep learning capabilities, the DeepVessel FFR reportedly provides enhanced non-invasive evaluation of coronary arteries through semi-automated analysis of coronary computed tomography angiography (CCTA) imaging.
Deep Learning Model May Predict Lung Cancer Risk from a Single CT Scan
January 23rd 2023Trained 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.
Can Multimodal AI Improve Cancer Detection in Dense Breasts?
January 20th 2023Emerging 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.
Can Deep Learning Assessment of X-Rays Improve Triage of Patients with Acute Chest Pain?
January 18th 2023In 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.
Nine Takeaways from New Article Examining Health Equity in the Radiology Field
January 17th 2023In a provocative new article, radiology researchers discuss the impact of social determinants of health (SDoH) upon access to care and patient outcomes, and present strategies within the realms of radiology education, research, clinical care, and innovation that may help mitigate health-care disparities.
Viz.ai Launches AI-Powered Vascular Imaging Software
January 16th 2023The 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.
Pie Medical Imaging Launches AI-Powered Echocardiography Platform
January 13th 2023CAAS Qardia 2.0, an updated version of the CAAS Qardia echocardiography software platform, reportedly incorporates artificial intelligence (AI)-enabled workflows, and provides enhanced imaging and analysis of key cardiac measures.
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).
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.