The Diagnostic Imaging X-ray modality focus page provides information, videos, podcasts, and the latest news about industry product developments, trial results, screening guidelines, and protocol guidance that touch on the use of X-ray across the healthcare continuum, from chest, orthopedic, abdominal imaging, and more.
July 23rd 2024
Review the case and test your knowledge to make the correct diagnosis.
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 Do the Experts Select and Sequence Therapies to Optimize Patient Outcomes and Quality of Life in Advanced Prostate Cancer?
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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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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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Annual Hawaii Cancer Conference
January 25-26, 2025
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21st Annual International Symposium on Melanoma and Other Cutaneous Malignancies®
February 8, 2025
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Community Practice Connections™: The 2nd Annual Hawaii Lung Cancers Conference®
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Clinical Case Vignette Series™: 41st Annual Miami Breast Cancer Conference®
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Medical Crossfire®: How Can Thoracic Teams Facilitate Optimized Care of Patients With Stage I-III EGFR Mutation-Positive NSCLC?
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Lung Cancer Tumor Board®: How Do Emerging Data for ICIs, BiTEs, ADCs, and Targeted Strategies Address Unmet Needs in the Therapeutic Continuum for SCLC?
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Could a Newly FDA-Cleared C-Arm Device Bolster Efficiency for Interventional Radiologists?
April 22nd 2024In addition to advanced imaging quality and dose efficiency, the Philips Zenition 30 mobile C-arm device emphasizes personalized user profiles and automated customization to help reduce procedure time.
Adjunctive AI Powered Tool for Tuberculosis Detection Gets FDA's Breakthrough Device Designation
February 5th 2024With reported increases in tuberculosis cases after the COVID-19 pandemic, the qSpot-TB adjunctive artificial intelligence (AI) device may facilitate improved diagnosis of the disease on chest X-rays.
3D Hip CT AI Model Bolsters Future Fracture Risk Assessment for Patients with Hip Fractures
January 30th 2024Employing reconstructed radiographs from 3D hip CT scans, a deep learning model demonstrated a higher concordance index (C index) and higher two- and three-year AUCs than multiple imaging models and three clinical models for predicting subsequent fracture risk in patients with hip fractures.
Key Takeaways from Multiple Radiology Societies on AI Assessment and Integration
January 22nd 2024In a recently issued statement from multiple radiology societies including the RSNA and ACR, researchers offer practical advice for evaluating artificial intelligence (AI) tools, implementing AI into current workflows and monitoring of the technology to help ensure optimal benefit and effectiveness.
FDA Clears AI Software for Enhanced Lung Nodule Detection on Chest X-Rays
January 9th 2024Tailored for incidental findings on chest radiographs, the qXR for Lung Nodule (qXR-LN) software utilizes artificial intelligence (AI) to help detect suspected pulmonary nodules ranging between 6 to 30 mm.
AI Facilitates Nearly 83 Percent Improvement in Turnaround Time for Fracture X-Rays
December 19th 2023In addition to offering a 98.5 percent sensitivity rate in diagnosing fractures on X-ray, an emerging artificial intelligence (AI) software reportedly helped reduce mean turnaround time on X-ray fracture diagnosis from 48 hours to 8.3 hours, according to new research presented at the Radiological Society of North America (RSNA) conference.
Study: AI Enhances Abnormality Detection on CXR Across Radiologist Experience Levels
December 13th 2023Emerging research suggests that adjunctive artificial intelligence (AI) improves sensitivity for a variety of abnormalities on chest X-rays regardless of radiologist experience level, including an average 26 percent increase in sensitivity for pneumothorax.