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.
March 27th 2024
Featuring automated one-click functionality for capturing prostate volume, the AI-enabled software may help shorten workflows for prostate imaging, biopsies, and ultrasound-guided procedures.
Revolutionizing Early-Stage NSCLC Treatment: Pathologists’ Key Insights into Predicting Pathologic Responses to Immunotherapies
View More
Medical Crossfire®: Critical Questions on Diagnosis, Sequencing, and Selection of Systemic and Radioligand Therapy Options for Patients with GEP-NETs
View More
Medical Crossfire®: Expert Exchanges to Maximize Clinical Outcomes for Patients with CRPC Through Evidence-Based Personalized Therapy
View More
23rd Annual International Congress on the Future of Breast Cancer® West
July 12-13, 2024
Register Now!
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 Does Recent Evidence on PARP Inhibitors and Combinations Inform Treatment Planning for Prostate Cancer Now and In the Future?
View More
Medical Crossfire®: How Do the Experts Select and Sequence Therapies to Optimize Patient Outcomes and Quality of Life in Advanced Prostate Cancer?
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
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.
Philips Gets FDA Nod for MRI Head and Neck Radiotherapy Application
October 20th 2022For physicians performing radiotherapy treatment of soft tissue tumors in the head and neck, the MRCAT Head and Neck offers an artificial intelligence (AI) application that allows the use of magnetic resonance imaging (MRI) as the primary or sole imaging for procedure planning.
HeartFlow Garners FDA Clearances for Two AI-Powered Assessment Tools with CCTA
October 20th 2022Plaque Analysis and RoadMap Analysis, two artificial intelligence (AI)-enabled assessment products, may enhance clinical evaluation of coronary artery disease (CAD) on cardiac computed tomography angiography (CCTA).
What Would the Perfect AI Do for This Radiologist?
October 10th 2022While artificial intelligence (AI) models have been acknowledged for aiding imaging analysis or facilitating workflow enhancements, this author envisions AI as a potential workstation conceierge capable of turning common venting and gripes into actionable items for significant improvements.
Adjunctive AI Software for Brain MRI Gets FDA Clearance for Assessing High-Grade Gliomas
October 10th 2022Incorporating artificial intelligence (AI)-based technology, Neosoma HGG reportedly demonstrated a 95.5 percent accuracy rate in measuring brain tumor volume on brain magnetic resonance imaging (MRI) scans at various points during the treatment of patients with high-grade gliomas.
Flash Versus Function: Does the AI Focus in Radiology Compromise Our Infrastructure Needs?
October 3rd 2022Addressing upgrades of traditional infrastructure used in everyday radiology practice may be a more practical use of resources than investment in artificial intelligence (AI) technology that is still evolving.
MRI Deep Learning Software from GE Healthcare Gets Expanded FDA Clearance
September 29th 2022AIR Recon DL, a deep learning-based image reconstruction software, will now be available with 3D sequences as well as PROPELLER motion-insensitive sequences on magnetic resonance imaging (MRI) scanners from GE Healthcare.
Could a New Deep Learning Tool Enhance CT Detection of Pancreatic Cancer?
September 13th 2022New research reveals that an emerging deep learning tool had comparable sensitivity and specificity to radiologist assessment of contrast-enhanced computed tomography (CT) scans for pancreatic cancer, and a 74.7 percent sensitivity rate for tumors smaller than 2 cm.
CT AI Software for Fracture Risk Gets Breakthrough Device Designation from FDA
September 13th 2022Assessing high-resolution computed tomography (CT) scans of the wrist, CurveBeam AI’s OssView software reportedly enables clinicians to ascertain bone fragility and fracture risk for women over the age of 70.
Samsung Gets FDA Nod for Versatile V7 Ultrasound System
September 9th 2022Offering uniform high-resolution images through a combination of beamforming and enhanced image processing, the new ultrasound platform reportedly has an array of diagnostic features ranging from cardiovascular applications to breast lesion assessment.
Study: Deep Learning System is Comparable to Radiologist Assessment of Chest X-Rays for Tuberculosis
September 7th 2022Examining imaging data of patients from multiple countries, researchers found that a deep learning system demonstrated higher sensitivity and non-inferior specificity for detecting active tuberculosis on chest radiographs in comparison to nine radiologist reviewers.
Emerging AI CT Tool May Provide Viable Complement to Lung-RADS Classification
September 6th 2022Researchers suggest that an artificial intelligence (AI)-powered risk stratification tool for lung nodules identified on computed tomography (CT) scans may identify likely malignancies more than one year prior to definitive diagnosis.
Study Suggests AI Improves Chest X-Ray Interpretation
September 2nd 2022Researchers found that stand-alone use of an artificial intelligence (AI) model led to a 24.9 percent increase in sensitivity for diagnosing pulmonary nodules and a 21.4 percent increase in sensitivity for diagnosing pneumonia.
Study Suggests AI is Superior to Sonographer Assessment of Heart Function on Echocardiograms
September 1st 2022In comparison to initial sonographer assessment of echocardiograms, cardiologists are over 10 percent less likely to change initial artificial intelligence (AI) assessment of left ventricular ejection fraction (LVEF), according to new research recently presented at the European Society of Cardiology Congress in Barcelona, Spain.