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.
May 6th 2024
Researchers found a 98.3 percent concordance between attending radiology reports and AI assessments for possible cervical spine fractures on CT, according to new research presented at the 2024 ARRS Annual Meeting.
Medical Crossfire®: How Can Thoracic Teams Facilitate Optimized Care of Patients With Stage I-III EGFR Mutation-Positive NSCLC?
May 21, 2024
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Medical Crossfire®: Critical Questions on Diagnosis, Sequencing, and Selection of Systemic and Radioligand Therapy Options for Patients with GEP-NETs
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Medical Crossfire®: Expert Exchanges to Maximize Clinical Outcomes for Patients with CRPC Through Evidence-Based Personalized Therapy
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23rd Annual International Congress on the Future of Breast Cancer® West
July 12-13, 2024
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25th Annual International Lung Cancer Congress®
July 25-27, 2024
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2023 ASCO Direct™ Highlights: Practice-Changing Data From the Leading Oncology Conference
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6th Annual Precision Medicine Symposium: An Illustrated Tumor Board
October 18-19, 2024
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Community Practice Connections™: 24th Annual International Lung Cancer Congress®
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19th Annual New York Lung Cancers Symposium®
November 16, 2024
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Medical Crossfire®: How Does Recent Evidence on PARP Inhibitors and Combinations Inform Treatment Planning for Prostate Cancer Now and In the Future?
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Medical Crossfire®: How Do the Experts Select and Sequence Therapies to Optimize Patient Outcomes and Quality of Life in Advanced Prostate Cancer?
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Lung Cancer Tumor Board®: Enhancing Multidisciplinary Communication to Optimize Immunotherapy in Stage I-III NSCLC
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Clinical Vignettes™: The Experts Explain How They Integrate PET Imaging into Metastatic HR+ Breast Cancer Care Settings
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School of Breast Oncology® Live Video Webcast: Clinical Updates from San Antonio
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Community Practice Connections™: The 2nd Annual Hawaii Lung Cancers Conference®
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Gleamer's BoneView Gains FDA Clearance for AI-Powered Pediatric Fracture Detection
March 15th 2023The artificial intelligence (AI)-enabled software, which has a documented 91 percent sensitivity rate for detecting pediatric fractures, is reportedly the first AI fracture detection modality to receive FDA 510(k) clearance for use in the pediatric population.
Study: AI Improves Cancer Detection Rate for Digital Mammography and Digital Breast Tomosynthesis
March 6th 2023Comparing year-long findings with and without adjunctive artificial intelligence (AI) at a breast cancer screening program in Spain, researchers found the combination of digital breast tomosynthesis and AI had a 92.5 percent accuracy for diagnosing cancer in patients with elevated risk.
Canon Medical Launches New CT and X-Ray Modalities at ECR 2023
March 2nd 2023The new launches include the 80/160-slice computed tomography (CT) scanner Aquilion Serve, which allows simultaneous previews of axial, lateral and AP views, and Celex, a multipurpose X-ray system that offers automated and customizable features to help maximize workflow efficiencies.
AI/CT Combination for Assessing Pulmonary Embolism Severity Gets FDA Nod
February 23rd 2023Facilitating expedited assessment of pulmonary embolism severity, the emerging artificial intelligence (AI) tool Rapid RV/LV reportedly calculates the right ventricle/left ventricle (RV/LV) ratio within minutes of a computed tomography pulmonary angiogram (CTPA).
Study: AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest X-Rays
February 7th 2023In newly published research, researchers found that an artificial intelligence (AI) computer-aided detection (CAD) system was more than twice as likely as non-AI assessment to diagnose actionable lung nodules on chest X-rays.
Emerging Considerations and Innovations with AI in Radiology
February 3rd 2023From enhanced image quality and workflow efficiencies to an improved patient experience and potential synergies wih enterprise cloud services, artificial intelligence continues to redefine possibilities in radiology.
Clarius Mobile Health Gets FDA Nod for AI Ultrasound Musculoskeletal Imaging Model
February 1st 2023In what is reportedly the first Food and Drug Administration (FDA) 510(k) clearance for the use of artificial intelligence (AI) for musculoskeletal ultrasound, the model provides automated measurements of tendons in the knee, ankle, and foot.
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.